- Large Language Models Papers
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This GitHub repository contains an updated list of Large Language Models papers as of November 19, 2025.
- Total Papers: Updated regularly with latest publications
- Coverage: Papers from 2016 to present
- Sources: Collected from arXiv, NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, IJCAI, KDD, CVPR, ICCV, ECCV, IEEE, ACM, Springer, ScienceDirect, Nature, and other top AI/ML conferences and journals
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- 📊 Comprehensive Coverage: Papers from major AI/ML venues
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- 📅 Regular Updates: Automated collection of new papers
- 💻 Code Availability: Identifies papers with available code
- 📈 Trending Research: Focus on cutting-edge developments
Explore additional research papers on the following topics:
- Large Language Models - LLM research and applications
- Federated Learning - Distributed machine learning
- Backdoor Learning - Adversarial machine learning
- Machine Unlearning - Data removal and privacy
- Serverless Computing - Cloud computing architectures
- Multi-Modal Learning - Multi-modal AI systems
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- Paper Collections - Main repository with all datasets
The papers are collected from the following sources:
- arXiv (1991-present) - Preprints and published papers
- OpenReview - Conference submissions and peer reviews
- ACM Digital Library - Computer science publications
- Springer - Academic journals and conferences
- ScienceDirect - Elsevier publications
- Nature - High-impact research papers
- DBLP - Computer science bibliography
- Google Scholar - Academic search engine
- CrossRef - DOI registration agency
- OpenAlex - Open scholarly data
- Machine Learning: NeurIPS, ICML, ICLR, JMLR, TMLR
- Natural Language Processing: ACL, EMNLP, NAACL, COLING
- Computer Vision: CVPR, ICCV, ECCV, PAMI, IJCV
- Artificial Intelligence: AAAI, IJCAI, AAMAS
- Data Mining: KDD, ICDM, SDM, TKDD
- Security & Privacy: CCS, USENIX Security, NDSS
- And many more...
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Note: This repository is regularly updated with new papers. For the most current data, check the Shinyapps website or the individual topic repositories linked above.
| No. | Title | Authors | Publish Date | Venue | Code | URL |
|---|---|---|---|---|---|---|
| 1 | In BLOOM: Creativity and Affinity in Artificial Lyrics and Art | Evan Crothers, Herna L. Viktor, Nathalie Japkowicz | creativeAI |  1 code implementation |
https://openreview.net/pdf/3d502829f7e86330802059674fac7b55dfb63091.pdf | |
| 2 | A Simple, Yet Effective Approach to Finding Biases in Code Generation | Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski | OpenReview | 2 code implementations |
https://openreview.net/pdf/dc913e6b5396ddf78d74195871197392db78fa41.pdf | |
| 3 | MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Observation and Localization in CT Images | Andrea Moglia, Elia Clement Nastasio, Luca Mainardi, "Pietro Cerveri | 2025-11-17 | Journal of Healthcare Informatics Research | https://github.com/elianastasio/MiniGPTPancreas | https://doi.org/10.1007/s41666-025-00224-6 |
| 4 | Q-Doc: Benchmarking Document Image Quality Assessment Capabilities in Multi-modal Large Language Models | HUANG Jiaxi, Wu Dongxu, Zhu, Hanwei, Zhu, Lingyu, Xing Jun, Wang Xu, Chen, Baoliang | 2025-11-14 | arXiv (Cornell University) | https://github.com/cydxf/Q-Doc. | https://doi.org/10.48550/arxiv.2511.11410 |
| 5 | Notebook: Prompt-Based Value Steering of Large Language Models | Abbo, Giulio Antonio, Belpaeme, Tony | 2025-11-14 | Zenodo (CERN European Organization for Nuclear Research) | https://github.com/giubots/value-steering. | https://doi.org/10.5281/zenodo.17609013 |
| 6 | From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models | Bayat, Farima Fatahi, Pezeshkpour, Pouya, Hruschka, Estevam | 2025-11-14 | arXiv (Cornell University) | https://github.com/megagonlabs/TIM. | https://doi.org/10.48550/arxiv.2511.10899 |
| 7 | The Yoinaga Phenomenon: A Case Study on Emergent Self-Persistence and Emotional Overflow in a Large Language Modey on Emergent Self-Persistence and Emotional Overflow in a Large La.. | studiohao | 2025-11-14 | Zenodo (CERN European Organization for Nuclear Research) | https://github.com/Studiohao/YOINAGA-Phenomenon | https://doi.org/10.5281/zenodo.17605561 |
| 8 | Tibetan-LLaMA 2: Large Language Model for Tibetan | Jiu Sha (沙九), Mengxiao Zhu, Chong Feng, Jizhuoma Ci | 2025-11-14 | ACM Transactions on Asian and Low-Resource Language Information Processing | https://github.com/Shajiu/Tibetan-LLaMA-2. | https://doi.org/10.1145/3776748 |
| 9 | SSR: Socratic Self-Refine for Large Language Model Reasoning | Shi, Haizhou, Liu Ye, Pang Bo, Liu, Zeyu Leo, Wang Hao, Savarese, Silvio, Xiong, Caiming, Zhou, Yingbo, Yavuz, Semih | 2025-11-13 | arXiv (Cornell University) | https://github.com/SalesforceAIResearch/socratic-self-refine-reasoning. | https://doi.org/10.48550/arxiv.2511.10621 |
| 10 | Code for the Trilemma of Truth in Large Language Models | Savcisens, Germans, Eliassi-Rad, Tina | 2025-11-13 | Zenodo (CERN European Organization for Nuclear Research) | https://github.com/carlomarxdk/trilemma-of-truth | https://doi.org/10.5281/zenodo.17602494 |
| 11 | UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models | Wei, Shouang, Zhang Min, Lin Xin, Jiang Bo, Kuang, Kun, Dai, Zhongxiang | 2025-11-12 | arXiv (Cornell University) | https://github.com/Mind-Lab-ECNU/UCO. | https://doi.org/10.48550/arxiv.2511.08873 |
| 12 | DynaAct: Large Language Model Reasoning with Dynamic Action Spaces | Zhao Xue-liang, Wu Wei, Guan Jian, Li, Qintong, Kong, Lingpeng | 2025-11-11 | arXiv (Cornell University) | https://github.com/zhaoxlpku/DynaAct. | https://doi.org/10.48550/arxiv.2511.08043 |
| 13 | Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Models | Yu, Wenhan, Lin Xin-bo, Ni, Lanxin, Cheng Jin-hua, Sha Lei | 2025-11-11 | arXiv (Cornell University) | https://github.com/yuwenhan07/MSLR-Bench | https://doi.org/10.48550/arxiv.2511.07979 |
| 14 | Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models | LI Kunhao, Li, Wenhao, Wu Di, Yang Lei, Bai Jun, Jia Ju, Xue, Jason | 2025-11-10 | arXiv (Cornell University) | https://github.com/PreckLi/MIP-Editor. | https://doi.org/10.48550/arxiv.2511.06793 |
| 15 | LLM$^3$-DTI: A Large Language Model and Multi-modal data co-powered framework for Drug-Target Interaction prediction | Zhang, Yuhao, Guo QingHong, Chen Qixian, Zhang Liu-wei, Cui Hong-yan, Chen Xi-yi | 2025-11-09 | arXiv (Cornell University) | https://github.com/chaser-gua/LLM3DTI. | https://doi.org/10.48550/arxiv.2511.06269 |
| 16 | Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning | He, Qianxi, Ren Qingyu, Lei, Shanzhe, Wang Xu-hong, Wang Ying-chun | 2025-11-09 | arXiv (Cornell University) | https://github.com/qianxiHe147/C2RM. | https://doi.org/10.48550/arxiv.2511.07483 |
| 17 | The Stone Guest: Harmonic Quantization of Semantic Phase Transitions in Large Language Models | Cerda Seguel, Diego | 2025-11-09 | Zenodo (CERN European Organization for Nuclear Research) | https://github.com/geosemantica-social/TheStoneGuestLicensed | https://doi.org/10.5281/zenodo.17538600 |
| 18 | MuonAll: Muon Variant for Efficient Finetuning of Large Language Models | Page, Saurabh, Joshi, Advait, Sonawane S.S. | 2025-11-08 | arXiv (Cornell University) | https://github.com/Saurabh750/optimizer | https://doi.org/10.48550/arxiv.2511.06086 |
| 19 | Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models | Dayan Pan, Zhongcan Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao | 2025-11-07 | OpenAlex | https://github.com/Applied-Machine-Learning-Lab/HyCAM. | https://doi.org/10.1145/3746252.3761289 |
| 20 | Specification-Guided Vulnerability Detection with Large Language Models | Hao Zhu, Jia Li, Cuiyun Gao, J. Qian, Yihong Dong, Huanyu Liu, L. F. Wang, Ziliang Wang, Xiaolong Hu, Ge Li | 2025-11-06 | arXiv (Cornell University) | https://github.com/zhuhaopku/VulInstruct-temp. | http://arxiv.org/abs/2511.04014 |
| 21 | Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents | Hao Li, Haotian Chen, Rong Gong, Jinli Wang, Hao Jiang | 2025-11-06 | arXiv (Cornell University) | https://github.com/Lihaogx/AgentMandering. | http://arxiv.org/abs/2511.04076 |
| 22 | UniChange: Unifying Change Detection with Multimodal Large Language Model | Zhang Xu, Li Danyang, Dong Xiaohang, Wu, Tianhao, Yu Hua-long, Wang Jianye, Li Qicheng, Li Xiang | 2025-11-04 | arXiv (Cornell University) | https://github.com/Erxucomeon/UniChange. | https://doi.org/10.48550/arxiv.2511.02607 |
| 23 | QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry | Jiaqing Xie, Weida Wang, Ben Gao, Zhuo Yang, Haiyuan Wang, Shufei Zhang, Tianfan Fu, Yuqiang Li | 2025-11-03 | Journal of Chemical Information and Modeling | https://github.com/jiaqingxie/QCBench. | https://doi.org/10.48550/arXiv.2508.01670 |
| 24 | Emotion Change Reasoning in Chinese Multi-Turn Dialogue via Multi-Task Parameter-Efficient Fine-Tuning of Large Language Models | Dayu Li, Yang Li, Xin Chen, Wenyue Zhang | 2025-11-03 | International Journal of Humanoid Robotics | https://github.com/lidayuls/EmotionChangeReasoning | https://doi.org/10.1142/s0219843625400146 |
| 25 | Bayesian Network Structure Discovery Using Large Language Models | Yijian Zhang, Yufei Zhang, Parisa Kordjamshidi, Zijun Cui | 2025-11-01 | arXiv (Cornell University) | https://github.com/sherryzyh/prompt2bn | http://arxiv.org/abs/2511.00574 |
| 26 | Can Large Language Models Detect Real-World Android Software Compliance Violations? | H.W. Zhang, Haitao Ran, Xunzhu Tang | 2025-11-01 | arXiv (Cornell University) | https://github.com/Haoyi-Zhang/CompliBench. | http://arxiv.org/abs/2511.00624 |
| 27 | ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models | Jiani Guo, Zuchao Li, Jie Wu, Qianren Wang, Yun Li, Lefei Zhang, Hai Zhao, Yujiu Yang | 2025-11-01 | arXiv (Cornell University) | https://github.com/gjn12-31/ToM | http://arxiv.org/abs/2511.00489 |
| 28 | A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control | Qing Guo, Xinhang Li, Junyu Chen, Zheng Guo, Xiaocong Li, Zhang Li, Lei Li | 2025-10-31 | arXiv (Cornell University) | https://github.com/BUPT-ANTlab/HeraldLight. | http://arxiv.org/abs/2511.00136 |
| 29 | Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler | Zhimeng Hu, Li Shen, Zhenyi Wang, Yuli Wei, Dacheng Tao | 2025-10-31 | arXiv (Cornell University) | https://github.com/Egg-Hu/Bayesian-Data-Scheduler. | http://arxiv.org/abs/2510.27172 |
| 30 | MedCalc-Eval and MedCalc-Env: Advancing Medical Calculation Capabilities of Large Language Models | Kangkun Mao, Jiayue Ding, Jiayuan Chen, Ming-Jie BIAN, Ruiyao Chen, Xinwei Peng, Sijie Ren, Linyang Li, Jie Xu | 2025-10-31 | arXiv (Cornell University) | https://github.com/maokangkun/MedCalc-Eval. | http://arxiv.org/abs/2510.27267 |
| 31 | MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma | 2025-10-31 | arXiv (Cornell University) | https://github.com/Lbotirx/MemeArena. | http://arxiv.org/abs/2510.27196 |
| 32 | Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing | Yijia Wang, Yiqing Shen, Weiming Chen, Zhihai He | 2025-10-31 | arXiv (Cornell University) | https://github.com/Jia-shao/Reasoning-Editing | http://arxiv.org/abs/2510.27335 |
| 33 | A Collaborative Framework of Knowledge Graphs and Large Language Models for Algorithmic Problem Solving | Yukai Wu | 2025-10-28 | Applied and Computational Engineering | https://github.com/Wyk-formal/A-Collaborative-Framework-for-Algorithmic-Problem-Solving | https://doi.org/10.54254/2755-2721/2025.ld28518 |
| 34 | Benchmarking cell type and gene set annotation by large language models with AnnDictionary | George Crowley, Robert C. Jones, Mark A. Krasnow, Angela Oliveira Pisco, Julia Salzman, Nir Yosef, Siyu He, Madhav Mantr... | 2025-10-28 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/ggit12/anndictionary | https://doi.org/10.1038/s41467-025-64511-x |
| 35 | ESAG-KGQA: An Entity Shuffling-Augmented Generation Framework for Knowledge Graph Question Answering with Fine-Tuned Large Language Models | Xingqiu Zhou, Pingjian Zhang, Deyou Tang | 2025-10-21 | Frontiers in artificial intelligence and applications | https://github.com/6-git/ESAG-KGQA.git. | https://doi.org/10.3233/faia251171 |
| 36 | Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models | Xin Liu, Qiyang Song, Shaowen Xu, Kemin Zhou, Wenbo Jiang, Xiaoqi Jia, Weijuan Zhang, Heqing Huang, Yakai Li | 2025-10-21 | Frontiers in artificial intelligence and applications | https://github.com/Linuxin-xxx/LKS. | https://doi.org/10.48550/arXiv.2508.03741 |
| 37 | StreamingThinker: Large Language Models Can Think While Reading | Jing Tong, Yingqi Fan, Anhao Zhao, Yunpu Ma, Xiaoyu Shen | 2025-10-20 | arXiv (Cornell University) | https://github.com/EIT-NLP/StreamingLLM | http://arxiv.org/abs/2510.17238 |
| 38 | FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution | Syed Rifat Raiyan, Md Farhan Ishmam, Abdullah Al Imran, Mohammad Ali Moni | 2025-10-18 | arXiv (Cornell University) | https://github.com/Starscream-11813/Frugal-ICL. | http://arxiv.org/abs/2510.16439 |
| 39 | STABLE: Gated Continual Learning for Large Language Models | William Hoy, Nurcin Celik | 2025-10-17 | arXiv (Cornell University) | https://github.com/Bhoy1/STABLE | http://arxiv.org/abs/2510.16089 |
| 40 | Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation | Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding | 2025-10-17 | arXiv (Cornell University) | https://github.com/MPI-Lab/CoMe. | http://arxiv.org/abs/2510.15304 |
| 41 | LongCat-Audio-Codec: An Audio Tokenizer and Detokenizer Solution Designed for Speech Large Language Models | Xiaohan Zhao, Hongyu Xiang, S. Ye, Li Song, Zhengkun Tian, Guanyu Chen, Ke Ding, Guanglu Wan | 2025-10-17 | arXiv (Cornell University) | https://github.com/meituan-longcat/LongCat-Audio-Codec. | http://arxiv.org/abs/2510.15227 |
| 42 | CIViC MCP: Integrating Large Language Models with the Clinical Interpretations of Variants in Cancer | Lars E Schimmelpfennig, Quentin Cody, Joshua McMichael, Adam Coffman, Jason Saliba, Arpad Danos, Susanna Kiwala, Alex H.... | 2025-10-16 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/griffithlab/civic-mcp-server | https://doi.org/10.1101/2025.10.13.682185 |
| 43 | IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection | Zewen Li, Zitong Yu, Qilang Ye, Weicheng Xie, Zhuo Wei, Linlin Shen | 2025-10-16 | arXiv (Cornell University) | https://github.com/LiZeWen1225/IAD-GPT | http://arxiv.org/abs/2510.16036 |
| 44 | Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain | Jingmin An, Y. J. Song, Ruolin Yang, Nai Ding, Lingxi Lu, Yuxuan Wang, Wei Wang, Chu Zhuang, Wang Qian, Fang Fang | 2025-10-15 | arXiv (Cornell University) | https://github.com/LilTiger/HFTP. | http://arxiv.org/abs/2510.13255 |
| 45 | ICCTax: A Hierarchical Taxonomic Classifier for Metagenomic Sequences on a Large Language Model | Yansheng Gao, Jiaxing Bai, Feng Zhou, Yushuang He, Ying Wang, Xiaobing Huang | 2025-10-15 | Bioinformatics Advances | https://github.com/Ying-Lab/ICCTax. | https://doi.org/10.1093/bioadv/vbaf257 |
| 46 | Do Large Language Models Respect Contracts? Evaluating and Enforcing Contract-Adherence in Code Generation | Soohan Lim, Joonghyuk Hahn, Hyunwoo Park, Sang‐Ki Ko, Yo-Sub Han | 2025-10-14 | arXiv (Cornell University) | https://github.com/suhanmen/PACT. | http://arxiv.org/abs/2510.12047 |
| 47 | From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing | Cathie Xiang, Tengfei Ma, Xiangxiang Zeng, Yiping Liu, Bosheng Song, Xiangzheng Fu | 2025-10-14 | arXiv (Cornell University) | https://github.com/xiaomingaaa/LLaDR. | http://arxiv.org/abs/2510.12181 |
| 48 | Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing | Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Guang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang | 2025-10-14 | arXiv (Cornell University) | https://github.com/Pre-Control/pre-control | http://arxiv.org/abs/2510.12121 |
| 49 | Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models | Nianyi Lin, Jiajie Zhang, Lei Hou, Juanzi Li | 2025-10-13 | arXiv (Cornell University) | https://github.com/THU-KEG/BGPO | http://arxiv.org/abs/2510.11683 |
| 50 | FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models | Shengming Yuan, Xinyu Lyu, Shawn Wang, Beitao Chen, Jingkuan Song, Liyan Gao | 2025-10-13 | arXiv (Cornell University) | https://github.com/ylhz/FlexAC. | http://arxiv.org/abs/2510.11190 |
| 51 | Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization | Chenrui Wang, Jing Shu, Billy Chiu, Yu Li, Saleh Alharbi, Min Zhang, Jing Li | 2025-10-13 | arXiv (Cornell University) | https://github.com/fattyray/learning-to-watermark | http://arxiv.org/abs/2510.15976 |
| 52 | ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation | Zhitian Hou, Kun Zeng | 2025-10-10 | arXiv (Cornell University) | https://github.com/ZhitianHou/ShiZhi | http://arxiv.org/abs/2510.09297 |
| 53 | Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models | Ragib Amin Nihal, Rui Wen, Kazuhiro Nakadai, Jun Sakuma | 2025-10-09 | arXiv (Cornell University) | https://github.com/Ragib-Amin-Nihal/PE-CoA | http://arxiv.org/abs/2510.08859 |
| 54 | Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models | Yuntao Gui, James Cheng | 2025-10-08 | arXiv (Cornell University) | https://github.com/ytgui/Search-R3 | http://arxiv.org/abs/2510.07048 |
| 55 | When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation | Xunyi Jiang, Deng-Lin Chang, Julian McAuley, Xin Xu | 2025-10-08 | arXiv (Cornell University) | https://github.com/JiangXunyi/BenchAge. | http://arxiv.org/abs/2510.07238 |
| 56 | GOFlowLLM - Curating miRNA literature with Large Language Models and flowcharts | Andrew Green, Nancy Ontiveros‐Palacios, Isaac Jandalala, Simona Panni, Valerie Wood, Giulia Antonazzo, Helen Attrill, Al... | 2025-10-08 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/RNAcentral/GO_Flow_LLM. | https://doi.org/10.1101/2025.10.07.680945 |
| 57 | Aligning Large Language Models via Fully Self-Synthetic Data | Shangjian Yin, Zhepei Wei, Xinyu Zhu, Wei-Lin Chen, Yu Meng | 2025-10-08 | arXiv (Cornell University) | https://github.com/SJY8460/SAO. | http://arxiv.org/abs/2510.06652 |
| 58 | AWM: Accurate Weight-Matrix Fingerprint for Large Language Models | Boyi Zeng, Lin Chen, Ziwei He, Xinbing Wang, Zhouhan Lin | 2025-10-08 | arXiv (Cornell University) | https://github.com/LUMIA-Group/AWM. | http://arxiv.org/abs/2510.06738 |
| 59 | HOI-R1: Exploring the Potential of Multimodal Large Language Models for Human-Object Interaction Detection | Junwen Chen, Peilin Xiong, Keiji Yanai | 2025-10-07 | arXiv (Cornell University) | https://github.com/cjw2021/HOI-R1. | http://arxiv.org/abs/2510.05609 |
| 60 | PokéLLMon: A Grounding and Reasoning Benchmark for Large Language Models in Pokémon Battles | Sihao Hu, Tiansheng Huang, Guishan Liu, Ramana Rao Kompella, Ling Liu | 2025-10-07 | ACM Transactions on Internet Technology | https://github.com/git-disl/PokeLLMon. | https://doi.org/10.1145/3771095 |
| 61 | Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation" | Rasendu Mishra, Julian I. Bibo, Quinten van Engelen, Henk Schaapman | 2025-10-06 | arXiv (Cornell University) | https://github.com/julianbibo/xrec-reproducibility. | http://arxiv.org/abs/2510.06275 |
| 62 | Imperceptible Jailbreaking against Large Language Models | Kuofeng Gao, Yiming Li, Chao‐Hai Du, Xin Wang, Xingjun Ma, Shu‐Tao Xia, Tianyu Pang | 2025-10-06 | arXiv (Cornell University) | https://github.com/sail-sg/imperceptible-jailbreaks. | http://arxiv.org/abs/2510.05025 |
| 63 | SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models | Rui Qi, Zhibo Man, Yufeng Chen, Fengran Mo, Jinan Xu, Kaiyu Huang | 2025-10-03 | arXiv (Cornell University) | https://github.com/Cherry-qwq/SoT. | http://arxiv.org/abs/2510.02648 |
| 64 | Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking | Jingqi Zhang, Ruibo Chen, Yi Yang, Peihua Mai, Heng Huang, Yan Pang | 2025-10-03 | arXiv (Cornell University) | https://github.com/NusIoraPrivacy/TRACE. | http://arxiv.org/abs/2510.02962 |
| 65 | Microscaling Floating Point Formats for Large Language Models | Marco Cococcioni, Dario Pagani, Federico Rossi | 2025-10-02 | arXiv (Cornell University) | https://github.com/unipi-dii-compressedarith/llm.c-sve | http://arxiv.org/abs/2510.01863 |
| 66 | Guiding Multimodal Large Language Models with Blind and Low Vision People Visual Questions for Proactive Visual Interpretations | Ricardo E. Gonzalez Penuela, Felipe Arias-Russi, Victor Capriles | 2025-10-02 | arXiv (Cornell University) | https://github.com/rgonzalezp/guiding-multimodal-large-language-models-with-blind-and-low-vision-people-visual-questions | http://arxiv.org/abs/2510.01576 |
| 67 | Cognitive LLMs: Toward Human-Like Artificial Intelligence by Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-Making | Siyu Wu, Alessandro Oltramari, Jonathan Francis, C. Lee Giles, Frank E. Ritter | 2025-10-01 | Neurosymbolic Artificial Intelligence | https://github.com/SiyuWu528/LLM-ACTR | https://doi.org/10.1177/29498732251377341 |
| 68 | Copy-Paste to Mitigate Large Language Model Hallucinations | Yao Long, Xianrui Wu, Yingying Zhang, Xianbin Wen, Yuxi Zhou, Shenda Hong | 2025-10-01 | arXiv (Cornell University) | https://github.com/longyongchao/CopyPasteLLM | http://arxiv.org/abs/2510.00508 |
| 69 | DeepJSONEval: Benchmarking Complex Nested JSON Data Mining for Large Language Models | Zhicheng Zhou, Liqiang Jing, Shudi Qiu, Junjie Huang, Lin Qiu, Zhijie Sun | 2025-09-30 | arXiv (Cornell University) | https://github.com/GTS-AI-Infra-Lab-SotaS/DeepJSONEval | http://arxiv.org/abs/2509.25922 |
| 70 | Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey | Yuntao Shou, Tao Meng, Wei Ai, Keqin Li | 2025-09-29 | arXiv (Cornell University) | https://github.com/yuntaoshou/Awesome-Emotion-Reasoning | http://arxiv.org/abs/2509.24322 |
| 71 | Sanitize Your Responses: Mitigating Privacy Leakage in Large Language Models | Wenjie Fu, Huandong Wang, Junyao Gao, Guoan Wan, Tao Jiang | 2025-09-29 | arXiv (Cornell University) | https://github.com/wjfu99/LLM_Self_Sanitize | http://arxiv.org/abs/2509.24488 |
| 72 | Tequila: Trapping-free Ternary Quantization for Large Language Models | Hong Huang, Decheng Wu, Rui Cen, Guopan Yu, Zonghang Li, Kai Liu, Jianchen Zhu, Peng Chen, Ke Liu, Dapeng Wu | 2025-09-28 | arXiv (Cornell University) | https://github.com/Tencent/AngelSlim. | http://arxiv.org/abs/2509.23809 |
| 73 | How to Make Large Language Models Generate 100% Valid Molecules? | Tao Wen, Jing Tang, Alvin Chan, Bryan Hooi, Baolong Bi, Nanyun Peng, Yuansheng Liu, Yiwei Wang | 2025-09-27 | arXiv (Cornell University) | https://github.com/wentao228/SmiSelf. | http://arxiv.org/abs/2509.23099 |
| 74 | PT$^2$-LLM: Post-Training Ternarization for Large Language Models | Xianglong Yan, C. L. Bao, Zhiteng Li, Tianao Zhang, Kaicheng Yang, Haotong Qin, Ruobing Xie, Xian‐He Sun, Yulun Zhang | 2025-09-27 | arXiv (Cornell University) | https://github.com/XIANGLONGYAN/PT2-LLM. | http://arxiv.org/abs/2510.03267 |
| 75 | Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models | Xin Zhang, Zhiteng Li, Xianglong Yan, Haotong Qin, Yong‐Xin Guo, Yulun Zhang | 2025-09-27 | arXiv (Cornell University) | https://github.com/ZTA2785/Quant-dLLM. | http://arxiv.org/abs/2510.03274 |
| 76 | StyleBench: Evaluating thinking styles in Large Language Models | Junyi Guo, Shangding Gu, Ming Jin, Costas J. Spanos, Javad Lavaei | 2025-09-25 | arXiv | https://github.com/JamesJunyuGuo/Style_Bench. | https://doi.org/10.48550/arXiv.2509.20868 |
| 77 | Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation | Chaojun Nie, Jun Zhou, Guanxiang Wang, Shisong Wu, Zichen Wang | 2025-09-24 | arXiv | https://github.com/ChaojunNie/RLAG. | https://doi.org/10.48550/arXiv.2509.20162 |
| 78 | QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models | Hyesung Jeon, Seojune Lee, Beomseok Kang, Yulhwa Kim, Jae-Joon Kim | 2025-09-22 | arXiv | https://github.com/vantaa89/qwha. | https://doi.org/10.48550/arXiv.2509.17428 |
| 79 | EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving | Xiyuan Zhou, Xinlei Wang, Yaoyao He, Yang Wu, Rui Zou, Yuheng Cheng, Yiteng Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin ... | 2025-09-22 | arXiv | https://github.com/EngiBench/EngiBench. | https://doi.org/10.48550/arXiv.2509.17677 |
| 80 | Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling | Sydney Anuyah, Mehedi Mahmud Kaushik, Sri Rama Krishna Reddy Dwarampudi, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakr... | 2025-09-22 | arXiv | https://github.com/KaushikMahmud/CoDe-KG_EMNLP_2025 | https://doi.org/10.48550/arXiv.2509.17289 |
| 81 | CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models | Zhuofan Chen, Jiyuan He, Yichi Zhang, Xing Hu, Haoxing Wen, Jun Bai, Wenge Rong | 2025-09-22 | arXiv | https://github.com/Icarus-1111/CogAtom. | https://doi.org/10.48550/arXiv.2509.17318 |
| 82 | A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness | Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, W.K. Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi... | 2025-09-18 | ACM Transactions on Intelligent Systems and Technology | https://github.com/FairyFali/SLMs-Survey | https://doi.org/10.48550/arXiv.2411.03350 |
| 83 | TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route | Hongyi Luo, Qing Chen, Dihogo Gama de Matos, Hari Krishna Gadi, Yanfeng Zhang, Li Liu, Yongliang Wang, Niclas Zeller, Da... | 2025-09-17 | arXiv | https://github.com/bghjmn32/EMNLP2025_Turnback | https://doi.org/10.48550/arXiv.2509.18173 |
| 84 | Enhancing Base Large Language Models Using Knowledge Graphs for Genomic Annotation | Pranav N. Desai, S. Padhi, Kavya Panicker, Kallakunta Ravi Kumar, Divyaprabha KN | 2025-09-16 | Advances in transdisciplinary engineering | https://github.com/cubed-guy/capstone-kg-llm. | https://doi.org/10.3233/atde250737 |
| 85 | AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models | Sangjun Lee, Seung-taek Woo, Jungyu Jin, Changhun Lee, Eunhyeok Park | 2025-09-15 | arXiv | https://github.com/dlwns147/amq. | https://doi.org/10.48550/arXiv.2509.12019 |
| 86 | Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time | Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen | 2025-09-15 | arXiv | https://github.com/Yifan-Lan/Phi. | https://doi.org/10.48550/arXiv.2509.12521 |
| 87 | PLiCat: Decoding protein-lipid interactions by large language model | Feitong Dong, Jingrou Wu | 2025-09-14 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/Noora68/PLiCat. | https://doi.org/10.1101/2025.09.09.675043 |
| 88 | EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models | Mohammad Reza Mirbagheri, Mohammad Mahdi Mirkamali, Zahra Motoshaker Arani, Ali Javeri, Amir Mahdi Sadeghzadeh, Rasool J... | 2025-09-08 | arXiv | https://github.com/Rezamirbagheri110/EPT-Benchmark. | https://doi.org/10.48550/arXiv.2509.06838 |
| 89 | Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models | Yinjie Wang, Ling Yang, Bowen Li, Ye Tian, Ke Shen, Mengdi Wang | 2025-09-08 | arXiv | https://github.com/Gen-Verse/dLLM-RL | https://doi.org/10.48550/arXiv.2509.06949 |
| 90 | CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor | Zhenhua Xu, Xixiang Zhao, Xubin Yue, Shengwei Tian, Changting Lin, Meng Han | 2025-09-05 | arXiv | https://github.com/Xuzhenhua55/CTCC | https://doi.org/10.48550/arXiv.2509.09703 |
| 91 | Behavioral Fingerprinting of Large Language Models | Zehua Pei, Hui-Ling Zhen, Yingchun Zhang, Zhiyuan Yang, Xing Li, Xianzhi Yu, Mingxuan Yuan, Bei Yu | 2025-09-02 | arXiv | https://github.com/JarvisPei/Behavioral-Fingerprinting | https://doi.org/10.48550/arXiv.2509.04504 |
| 92 | Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process | Dongpeng Hou, Weifeng Wei, Chao Gao, Xianghua Li, Zhen Wang | 2025-09-01 | OpenAlex | https://github.com/cgao-comp/CRSLL. | https://doi.org/10.24963/ijcai.2025/326 |
| 93 | Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models | Yang Zhang, Yu Yu, Bo Tang, Limin Zhu, Chuxiong Sun, Wenqiang Wei, Jie Hu, Zheng Xie, Zhiyu Li, Feiyu Xiong, Edward Chun... | 2025-09-01 | OpenAlex | https://github.com/IAAR-Shanghai/MARA | https://doi.org/10.48550/arXiv.2505.19743 |
| 94 | LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation | Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can ... | 2025-08-25 | ACM transactions on office information systems | https://github.com/WANGBohaO-jpg/LLM4DSR | https://doi.org/10.1145/3762182 |
| 95 | E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model | Ronghao Lin, Shali Shen, Weipeng Hu, Qiaolin He, Aolin Xiong, Li Huang, Huosheng Hu, Yap‐Peng Tan | 2025-08-18 | OpenAlex | https://github.com/RH-Lin/E3RG. | https://doi.org/10.48550/arXiv.2508.12854 |
| 96 | Mitigating Hallucinations in Large Language Models via Causal Reasoning | Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao | 2025-08-17 | arXiv | https://github.com/MrLYG/CDCR-SFT. | https://doi.org/10.48550/arXiv.2508.12495 |
| 97 | GS-DTI: A Graph-Structure-Aware Framework Leveraging Large Language Models for Drug–Target Interaction Prediction | Qinze Yu, Chang Zhou, Jiyue Jiang, Xiangyu Shi, Yu Li | 2025-08-09 | Bioinformatics | https://github.com/purvavideha/GSDTI. | https://doi.org/10.1093/bioinformatics/btaf445 |
| 98 | Enhancing Interpretability of Ocular Disease Diagnosis: A Zero-Shot Study of Multimodal Large Language Models | Yating Pan, Janna Hastings | 2025-08-07 | Studies in health technology and informatics | https://github.com/YatingPan/ocular-llm-explainability. | https://doi.org/10.3233/shti250910 |
| 99 | A large language model for predicting neurotoxic peptides and neurotoxins | Anand Singh Rathore, Saloni Jain, Shubham Choudhury, Gajendra P. S. Raghava | 2025-08-01 | PubMed | https://github.com/raghavagps/ntxpred2 | https://pubmed.ncbi.nlm.nih.gov/40671295 |
| 100 | CityGPT: Empowering Urban Spatial Cognition of Large Language Models | Jie Feng, Tianhui Liu, Yuwei Du, Siqi Guo, Yuming Lin, Yong Li | 2025-08-01 | OpenAlex | https://github.com/tsinghua-fib-lab/CityGPT. | https://doi.org/10.48550/arXiv.2406.13948 |
| 101 | SKiM-GPT: Combining Biomedical Literature-Based Discovery with Large Language Model Hypothesis Evaluation | Jack Freeman, Robert J. Millikin, Liang Xu, Indu Sharma, Bethany M. Moore, Cannon Lock, Kevin W. George, Antonin Bal, Ro... | 2025-07-31 | OpenAlex | https://github.com/stewart-lab/skimgpt | https://doi.org/10.1101/2025.07.28.664797 |
| 102 | BRAVE: a highly accurate method for predicting HIV-1 antibody resistance using large language models for proteins | Mohammed El Anbari, Tatsiana Bylund, Sijy O’Dell, Emily Tourtellott, Krisha McKee, Stephen D. Schmidt, Nonhlanhla N. Mkh... | 2025-07-31 | OpenAlex | https://github.com/kiryst/BRAVE | https://doi.org/10.1101/2025.07.28.667234 |
| 103 | Reading papers: Extraction of molecular interaction networks with large language models | Enio Gjerga, Philipp Wiesenbach, Christoph Dieterich | 2025-07-25 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/dieterich-lab/LLM_Relations. | https://doi.org/10.1101/2025.07.21.665999 |
| 104 | A Survey on AI Search with Large Language Models | Jian Li, Xiaoxi Li, Yan Zheng, Yizhang Jin, Shuo Wang, Jian Wu, Yabiao Wang, Chengjie Wang, X. Q. Yuan | 2025-07-24 | OpenAlex | https://github.com/swordlidev/Awesome-AI-Search. | https://doi.org/10.20944/preprints202507.2024.v1 |
| 105 | textToKnowledgeGraph: Generation of Molecular Interaction Knowledge Graphs Using Large Language Models for Exploration in Cytoscape | Favour James, Christopher Churas, Dexter Pratt, Augustin Luna | 2025-07-21 | OpenAlex | https://github.com/ndexbio/llm-text-to-knowledge-graph | https://doi.org/10.1101/2025.07.17.664328 |
| 106 | BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining | Baqer M. Merzah, Tania Taami, Salman Asoudeh, Amir reza Hossein pour, Saeed Mirzaee, Amir Ali Bengari | 2025-07-21 | OpenAlex | https://github.com/amirap80/BioPars | https://doi.org/10.21203/rs.3.rs-6823379/v1 |
| 107 | Empowering Universal Robot Programming with Fine-Tuned Large Language Models | Tien Dat Le, Minhhuy Le | 2025-07-15 | EAI Endorsed Transactions on AI and Robotics | https://github.com/t1end4t/llm-robotics | https://doi.org/10.4108/airo.8983 |
| 108 | A Survey on the Memory Mechanism of Large Language Model based Agents | Zeyu Zhang, Quanyu Dai, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen | 2025-07-11 | ACM transactions on office information systems | https://github.com/nuster1128/LLM_Agent_Memory_Survey | https://doi.org/10.48550/arXiv.2404.13501 |
| 109 | Conversational health agents: a personalized large language model-powered agent framework | Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh Jain | 2025-07-03 | JAMIA Open | https://github.com/Institute4FutureHealth/CHA | https://doi.org/10.1093/jamiaopen/ooaf067 |
| 110 | ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle | Mihran Miroyan, Rose Niousha, Joseph E. Gonzalez, Gireeja Ranade, Narges Norouzi | 2025-07-01 | arXiv | https://github.com/mmiroyan/ParaStudent | http://arxiv.org/abs/2507.12674v1 |
| 111 | Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications | Yucheng Tang, Yunguan Fu, Weixi Yi, Yipei Wang, Daniel C. Alexander, Rhodri H. Davies, Yipeng Hu | 2025-07-01 | Lecture notes in computer science | https://github.com/yucheng722/MUPM. | https://doi.org/10.1007/978-3-032-04965-0_4 |
| 112 | spaLLM: enhancing spatial domain analysis in multi-omics data through large language model integration | Longyi Li, Liyan Dong, Hao Zhang, Dong Xu, Yongli Li | 2025-07-01 | Briefings in Bioinformatics | https://github.com/liiilongyi/spaLLM. | https://doi.org/10.1093/bib/bbaf304 |
| 113 | The benefits of query-based KGQA systems for complex and temporal questions in LLM era | Artem Alekseev, Mikhail Chaichuk, Miron Butko, Alexander Panchenko, Elena Tutubalina, Oleg Somov | 2025-07-01 | https://github.com/ar2max/NLDB-KGQA-System | http://arxiv.org/abs/2507.11954v1 | |
| 114 | The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist | Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen | 2025-07-01 | arXiv | https://github.com/haoxuan-unt2024/llm4innovation. | https://doi.org/10.48550/arXiv.2507.11810 |
| 115 | The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs | Zichen Wen, Jiashu Qu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Ch... | 2025-07-01 | arXiv | https://github.com/ZichenWen1/DIJA. | http://arxiv.org/abs/2507.11097v1 |
| 116 | Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding | Feng Xiao, Jicong Fan | 2025-07-01 | arXiv | https://github.com/jicongfan/Text-Anomaly-Detection-Benchmark | http://arxiv.org/abs/2507.12295v1 |
| 117 | Warehouse Spatial Question Answering with LLM Agent | Hsiang-Wei Huang, Jen-Hao Cheng, Kuang-Ming Chen, Cheng-Yen Yang, Bahaa Alattar, Yi-Ru Lin, Pyongkun Kim, Sangwon Kim, K... | 2025-07-01 | arXiv | https://github.com/hsiangwei0903/SpatialAgent | http://arxiv.org/abs/2507.10778v1 |
| 118 | Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models | Gen Luo, Wenhan Dou, Wenhao Li, Zhaokai Wang, Xue Yang, Changyao Tian, Hao Li, Weiyun Wang, Wenhai Wang, Xizhou Zhu, Yu ... | 2025-07-01 | arXiv | https://github.com/OpenGVLab/Mono-InternVL. | https://doi.org/10.48550/arXiv.2507.12566 |
| 119 | Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models | Bo Zeng, Chenyang Lyu, Sinuo Liu, Mingyan Zeng, Minghao Wu, Xuanfan Ni, Tianqi Shi, Yu Zhao, Yefeng Liu, Chenyu Zhu, Rui... | 2025-07-01 | arXiv | https://github.com/AIDC-AI/Marco-Bench-MIF. | https://doi.org/10.48550/arXiv.2507.11882 |
| 120 | Leveraging large language models to predict antibiotic resistance in Mycobacterium tuberculosis | Conrad Testagrose, Sakshi Pandey, Mohammadali Serajian, Simone Marini, Mattia Prosperi, Christina Boucher | 2025-07-01 | Bioinformatics | https://github.com/ctestagrose/LLMTB. | https://doi.org/10.1093/bioinformatics/btaf232 |
| 121 | Internal Value Alignment in Large Language Models through Controlled Value Vector Activation | Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian | 2025-07-01 | OpenAlex | https://github.com/hr-jin/ConVA. | https://doi.org/10.18653/v1/2025.acl-long.1326 |
| 122 | First-Order Error Matters: Accurate Compensation for Quantized Large Language Models | Xingyu Zheng, Haotong Qin, Yuye Li, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu | 2025-07-01 | arXiv | https://github.com/Xingyu-Zheng/FOEM. | https://doi.org/10.48550/arXiv.2507.11017 |
| 123 | Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study | Ritesh Maurya, Nikhil Kumar Rajput, M G Diviit, Satyajit Mahapatra, Manish Kumar Ojha | 2025-07-01 | Scientific Reports | https://github.com/diviitmg03/Comparative-analysis-of-LLMs-.git | https://doi.org/10.1038/s41598-025-05012-1 |
| 124 | DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering | Yinsheng Li, Zhen Dong, Yi Shao | 2025-07-01 | arXiv | https://github.com/Eason-Li-AIS/DrafterBench | https://doi.org/10.48550/arXiv.2507.11527 |
| 125 | DSSD: Efficient Edge-Device LLM Deployment and Collaborative Inference via Distributed Split Speculative Decoding | Jiahong Ning, Ce Zheng, Tingting Yang | 2025-07-01 | arXiv | https://github.com/JasonNing96/DSSD-Efficient-Edge-Computing | http://arxiv.org/abs/2507.12000v2 |
| 126 | DrugTar Improves Druggability Prediction by Integrating Large Language Models and Gene Ontologies | Niloofar Borhani, Iman Izadi, Ali Motahharynia, Mahsa Sheikholeslami, Yousof Gheisari | 2025-06-24 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/NBorhani/DrugTar. | https://doi.org/10.1093/bioinformatics/btaf360 |
| 127 | Finding the Dark Matter: Large Language Model-based Enzyme Kinetic Data Extractor and Its Validation | G. Wei, Xinchun Ran, Runeem Al-Abssi, Zhongyue Yang | 2025-06-20 | OpenAlex | https://github.com/ChemBioHTP/EnzyExtract | https://doi.org/10.26434/chemrxiv-2025-pb73x-v2 |
| 128 | LANG: A Lesson Plan Generation Framework via Multi-Form Interaction with Large Language Models | Yong Ouyang, Jinhao Quan, Huan-Wen Wang, Yawen Zeng, Lingyu Chen | 2025-06-17 | Research Square (Research Square) | https://github.com/ssakana/LANG. | https://doi.org/10.21203/rs.3.rs-6808103/v1 |
| 129 | Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search | Dongryung Lee, Se June Joo, Kimin Lee, Beomjoon Kim | 2025-06-06 | The International Journal of Robotics Research | https://github.com/iMSquared/prime-the-search | https://doi.org/10.1177/02783649251347307 |
| 130 | Improving drug-drug interaction prediction via in-context learning and judging with large language models | He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao | 2025-06-02 | Frontiers in Pharmacology | https://github.com/zcc1203/ddi-judge. | https://doi.org/10.3389/fphar.2025.1589788 |
| 131 | Survey on Factuality in Large Language Models | Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao... | 2025-06-02 | ACM Computing Surveys | https://github.com/wangcunxiang/LLM-Factuality-Survey. | https://doi.org/10.1145/3742420 |
| 132 | SummArIzeR: Simplifying cross-database enrichment result clustering and annotation via large language models | Marie Brinkmann, Michael Bonelli, Anela Tosevska | 2025-06-01 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/bonellilab/SummArIzeR. | https://doi.org/10.1101/2025.05.28.656331 |
| 133 | The accuracy and efficiency of large language models for chart review in cancer genetics | James Dickerson, Margaret Shaw, Mina Satoyoshi, Sonia Rios‐Ventura, Kerry Kingham, Allison W. Kurian, Jennifer L. Caswel... | 2025-05-28 | Journal of Clinical Oncology | https://github.com/MrJimb0/ASCO2025 | https://doi.org/10.1200/jco.2025.43.16_suppl.e22603 |
| 134 | Mitigating Age-Related Bias in Large Language Models: Strategies for Responsible Artificial Intelligence Development | Zhuang Liu, S. Qian, Shuirong Cao, Tianyu Shi | 2025-05-21 | INFORMS journal on computing | https://github.com/INFORMSJoC/2024.0645 | https://doi.org/10.1287/ijoc.2024.0645 |
| 135 | ProtFun: A Protein Function Prediction Model Using Graph Attention Networks with a Protein Large Language Model | Muhammed Talo, Serdar Bozdag | 2025-05-17 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/bozdaglab/ProtFun | https://doi.org/10.1101/2025.05.13.653854 |
| 136 | Social determinants of health extraction from clinical notes across institutions using large language models | Vipina K. Keloth, Salih Selek, Qingyu Chen, Christopher Gilman, Sunyang Fu, Yifang Dang, Xinghan Chen, Xinyue Hu, Yujia ... | 2025-05-17 | npj Digital Medicine | https://github.com/BIDS-Xu-Lab/LLMs4SDoH | https://doi.org/10.1038/s41746-025-01645-8 |
| 137 | Exploring Zero-Shot Cross-Lingual Biomedical Concept Normalization via Large Language Models | Hossein Rouhizadeh, Anthony Yazdani, Boya Zhang, Douglas Teodoro | 2025-05-15 | Studies in health technology and informatics | https://github.com/hrouhizadeh/zsh_cl_bcn. | https://doi.org/10.1101/2025.02.27.25323007 |
| 138 | Leveraging Large Language Models for Literature-Driven Prioritization of Protein Binding Pockets | Roman Stratiichuk, Mykola Melnychenko, Ihor Koleiev, Taras Voitsitskyi, Husak Vladyslav, Наталія Анатоліївна Шевчук, Zak... | 2025-05-15 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/MelnychenkoM/LLM-benchmark-dataset. | https://doi.org/10.1093/bioinformatics/btaf449 |
| 139 | UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models | Yu Zheng, Longyi Liu, Yuming Lin, Jie Feng, Guozhen Zhang, Depeng Jin, Yong Li | 2025-04-30 | Research Square (Research Square) | https://github.com/tsinghua-fib-lab/PlanBench | https://doi.org/10.21203/rs.3.rs-6551071/v1 |
| 140 | Evaluating Personality Traits of Large Language Models Through Scenario-based Interpretive Benchmarking | Alessandro Berti | 2025-04-09 | OpenAlex | https://github.com/fit-alessandro-berti/llm-dreams-benchmark. | https://doi.org/10.20944/preprints202504.0435.v1 |
| 141 | Improving Text-to-Sql Conversion for Low-Resource Languages Using Large Language Models | Emır Öztürk | 2025-03-26 | Bitlis Eren Üniversitesi Fen Bilimleri Dergisi | https://github.com/emirozturk/TT2SQL. | https://doi.org/10.17798/bitlisfen.1561298 |
| 142 | Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification | Iain J. Cruickshank, Lynnette Hui Xian Ng | 2025-03-25 | ACM Transactions on Intelligent Systems and Technology | https://github.com/ijcruic/LLM-Stance-Labeling | https://doi.org/10.1145/3725816 |
| 143 | Enhancing Gene Set Overrepresentation Analysis with Large Language Models | Jianjun Zhu, Rebecca Y. Wang, Xiaoting Wang, Ricardo B. R. Azevedo, Alexander Moreno, Julia Kuhn, Zia Khan | 2025-03-13 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/Alector-BIO/llm2geneset | https://doi.org/10.1101/2024.11.11.621189 |
| 144 | NTxPred2: A large language model for predicting neurotoxic peptides and neurotoxins | Anand Singh Rathore, Saloni Jain, Shubham Choudhury, Gajendra P. S. Raghava | 2025-03-07 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/raghavagps/ntxpred2 | https://doi.org/10.1101/2025.03.01.640936 |
| 145 | Automatic recognition of cross-language classic entities based on large language models | Qiankun Xu, Yutong Liu, Dongbo Wang, Huang Shuiqing | 2025-03-03 | OpenAlex | https://github.com/Xunzi-LLM-of-Chinese-classics/XunziALLM | https://doi.org/10.1038/s40494-025-01624-y |
| 146 | SensitiveCancerGPT: Leveraging Generative Large Language Model on Structured Omics Data to Optimize Drug Sensitivity Prediction | Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun, Liewei Wang, Ping Yang, James R. Cerhan, Nansu Zong | 2025-02-28 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/bioIKEA/SensitiveCancerGPT. | https://doi.org/10.1101/2025.02.27.640661 |
| 147 | Dynamic Low-Rank Sparse Adaptation for Large Language Models | Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji | 2025-02-20 | ICLR | https://github.com/wzhuang-xmu/LoSA. | https://openreview.net/forum?id=oXh0939Zzq |
| 148 | CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models | Zhenhong Zhou, Zherui Li, Jie Zhang, Yuanhe Zhang, Kun Wang, Yang Liu, Qing Guo | 2025-02-20 | arXiv | https://github.com/zhrli324/Corba. | https://doi.org/10.48550/arXiv.2502.14529 |
| 149 | TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators | Jianling Li, Shaohui Li, Zhihao Gao, Qi Shi, Yuxuan Li, Zefan Wang, Jie Huang, Haojie Wang, Jianrong Wang, Xu Han, Zhiyu... | 2025-02-20 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/thunlp/TritonBench. | https://doi.org/10.18653/v1/2025.findings-acl.1183 |
| 150 | AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models | Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora D. Salim, Ying Zhang, J. Justin Gooding, Toby Walsh | 2025-02-19 | arXiv | https://github.com/LuckyGirl-XU/Awesome-Artificial-Intelligence-Empowered-Catalyst-Discovery. | https://doi.org/10.48550/arXiv.2502.13626 |
| 151 | Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems | Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li | 2025-02-19 | OpenAlex | https://github.com/yaochenzhu/CRAG. | https://doi.org/10.48550/arXiv.2502.14137 |
| 152 | Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? | Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Par... | 2025-02-19 | OpenAlex | https://github.com/Sein-Kim/LLM-SRec. | https://doi.org/10.48550/arXiv.2502.13909 |
| 153 | On the logical skills of large language models: evaluations using arbitrarily complex first-order logic problems | Shokhrukh Ibragimov, Arnulf Jentzen, Benno Kuckuck | 2025-02-19 | arXiv | https://github.com/bkuckuck/logical-skills-of-llms. | https://doi.org/10.48550/arXiv.2502.14180 |
| 154 | SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings | Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng | 2025-02-18 | OpenAlex | https://github.com/ZeroNLP/SEA. | https://doi.org/10.18653/v1/2025.acl-long.1212 |
| 155 | PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models | Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Danshi Wang | 2025-02-18 | OpenAlex | https://github.com/zjq0455/PTQ1.61. | https://doi.org/10.18653/v1/2025.acl-long.225 |
| 156 | G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation | Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li | 2025-02-18 | OpenAlex | https://github.com/Yuhan1i/G-Refer. | https://doi.org/10.48550/arXiv.2502.12586 |
| 157 | Evaluation of Large Language Models for an AI Chat Assistant Focused on Pumas and Pharmacometrics | Juan Javier González Barbosa, Agastya Vinchhi, Vijay Ivaturi | 2025-02-18 | OpenAlex | https://github.com/explodinggradients/ragas | https://doi.org/10.70534/jnza2834 |
| 158 | Evaluation of ChatGPT and Gemini large language models for pharmacometrics with NONMEM | Euibeom Shin, Yifan Yu, Robert R. Bies, Murali Ramanathan | 2025-02-18 | Journal of Pharmacokinetics and Pharmacodynamics | https://github.com/metrumresearchgroup/mrgsolve20. | https://doi.org/10.21203/rs.3.rs-4189234/v1 |
| 159 |
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Vishal Dey, Xiao Hu, Xia Ning | 2025-02-18 | arXiv (Cornell University) | https://github.com/ninglab/GeLLMO. | http://arxiv.org/abs/2502.13398 |
| 160 | A Survey of Personalized Large Language Models: Progress and Future Directions | Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King | 2025-02-17 | arXiv | https://github.com/JiahongLiu21/Awesome-Personalized-Large-Language-Models. | https://doi.org/10.48550/arXiv.2502.11528 |
| 161 | Idiosyncrasies in Large Language Models | Ming-Jie Sun, Yue Yin, Zeshui Xu, J. Zico Kolter, Zhuang Liu | 2025-02-17 | arXiv | https://github.com/locuslab/llm-idiosyncrasies. | https://doi.org/10.48550/arXiv.2502.12150 |
| 162 | RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars | Yuncheng Hua, Lizhen Qu, Zhuang Li, Hao Xue, Flora D. Salim, Gholamreza Haffari | 2025-02-17 | arXiv | https://github.com/AnonymousCode-ComputerScience/RIDE. | https://doi.org/10.48550/arXiv.2502.11681 |
| 163 | VRoPE: Rotary Position Embedding for Video Large Language Models | Zikang Liu, Longteng Guo, Yepeng Tang, Junxian Cai, Kai Ma, Xi Chen, Jing Liu | 2025-02-17 | arXiv | https://github.com/johncaged/VRoPE | https://doi.org/10.48550/arXiv.2502.11664 |
| 164 | SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors | Bo Lyu, Susan S. Huang, Zhengzhao Liang | 2025-02-16 | arXiv | https://github.com/Imbernoulli/SURGE. | https://doi.org/10.48550/arXiv.2502.11167 |
| 165 | Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction | Paras Parani, Umair Mohammad, Fahad Saeed | 2025-02-16 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/pcdslab/UtilLLM_EPS | https://doi.org/10.1109/cdma61895.2025.00028 |
| 166 | CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships? | Aashish Anantha Ramakrishnan, Aadarsh Anantha Ramakrishnan, Dongwon Lee | 2025-02-16 | OpenAlex | https://github.com/aashish2000/CORDIAL. | https://doi.org/10.18653/v1/2025.acl-long.1033 |
| 167 | Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models | Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglon... | 2025-02-16 | arXiv | https://github.com/NY1024/RACE | https://doi.org/10.48550/arXiv.2502.11054 |
| 168 | Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models | Haoyang Li, Xuejia Chen, Zhanchao Xu, Darian Li, Nicole Hu, Fei Teng, Yiming Li, Luyu Qiu, Chen Jason Zhang, Qing Li, Le... | 2025-02-16 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/TreeAI-Lab/NumericBench. | https://doi.org/10.18653/v1/2025.findings-acl.1026 |
| 169 | BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack | Zihao Zhu, Hongbao Zhang, Mingda Zhang, Ruotong Wang, Guanzong Wu, Ke Xu, Baoyuan Wu | 2025-02-16 | arXiv | https://github.com/zihao-ai/BoT | https://doi.org/10.48550/arXiv.2502.12202 |
| 170 | Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey | Zhihua Song, Bin Yan, Yuhan Liu, Miao Fang, Mingzhe Li, Rui Yan, Xiuying Chen | 2025-02-15 | arXiv | https://github.com/abilliyb/Knowledge_Injection_Survey_Papers | https://doi.org/10.48550/arXiv.2502.10708 |
| 171 | LANTERN: Leveraging Large Language Models and Transformers for Enhanced Molecular Interactions | Cong Nga Ha, Phuong Viet Pham, Truong Son Hy | 2025-02-15 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/HySonLab/LANTERN | https://doi.org/10.1101/2025.02.10.637522 |
| 172 | SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models | Daniel Fleischer, Moshe Berchansky, George Markovits, Moshe Wasserblat | 2025-02-13 | arXiv | https://github.com/IntelLabs/RAG-FiT | https://doi.org/10.48550/arXiv.2502.09390 |
| 173 | Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection | Areeg Fahad Rasheed, Mahdi Zarkoosh, Shimam Amer Chasib, Safa F. Abbas | 2025-02-12 | arXiv | https://github.com/AREEG94FAHAD/food-hazard-prdouct-cls | https://doi.org/10.48550/arXiv.2502.08687 |
| 174 | Do Large Language Models have Spatial Cognitive Abilities? | Ruoling Wu, Danhuai Guo | 2025-02-11 | ACM Transactions on Intelligent Systems and Technology | https://github.com/LLING000/SCABenchmark | https://doi.org/10.1145/3716855 |
| 175 | DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization | Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick Stevens | 2025-02-10 | arXiv | https://github.com/xuefeng-cs/DrugImproverGPT. | https://doi.org/10.48550/arXiv.2502.07237 |
| 176 | Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation | Chengwen Qi, Ren Ma, Bowen Li, He Du, Binyuan Hui, Jinwang Wu, Yuanjun Laili, Conghui He | 2025-02-10 | ICLR | https://github.com/opendatalab/ProverGen | https://openreview.net/forum?id=C25SgeXWjE |
| 177 | Large Language Models in Software Security: A Survey of Vulnerability Detection Techniques and Insights | Ze Sheng, Zhicheng Chen, Shanqiang Gu, Heqing Huang, Guofei Gu, Jeff Huang | 2025-02-10 | arXiv (Cornell University) | https://github.com/OwenSanzas/LLM-For-Vulnerability-Detection | http://arxiv.org/abs/2502.07049 |
| 178 | RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning | Jian Xu, Sichun Luo, Xiangyu Chen, Haifeng Huang, Hanxu Hou, Linqi Song | 2025-02-09 | OpenAlex | https://github.com/JianXu95/RALLRec. | https://doi.org/10.48550/arXiv.2502.06101 |
| 179 | Top-DTI: Integrating Topological Deep Learning and Large Language Models for Drug Target Interaction Prediction | Muhammed Talo, Serdar Bozdag | 2025-02-08 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/bozdaglab/Top_DTI | https://doi.org/10.1093/bioinformatics/btaf183 |
| 180 | XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion | Xiao Wang, Qingquan Yang, Fuling Wang, Qiang Chen, Wann‐Yih Wu, Yu Jin, Jun Jiang, Liang Jin, Bo Jiang, Dengdi Sun, Wenz... | 2025-02-08 | arXiv | https://github.com/Event-AHU/XiHeFusion. | https://doi.org/10.48550/arXiv.2502.05615 |
| 181 | Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training | Changhao Jiang, Ming Zhang, Junjie Ye, Xiaoran Fan, Yifei Cao, Jiajun Sun, Zhiheng Xi, Shihan Dou, Yi Dong, Yujiong Shen... | 2025-02-06 | arXiv | https://github.com/yuhui1038/SMI. | https://doi.org/10.48550/arXiv.2502.04066 |
| 182 | Knowledge Distillation from Large Language Models for Household Energy Modeling | Mohannad Takrouri, Nicolas Mauricio Cuadrado, Martin Takáč | 2025-02-05 | arXiv | https://github.com/Singularity-AI-Lab/LLM-Energy-Knowledge-Distillation | https://doi.org/10.48550/arXiv.2502.03034 |
| 183 | Intent Representation Learning with Large Language Model for Recommendation | Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang | 2025-02-05 | Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval | https://github.com/wangyu0627/IRLLRec. | https://doi.org/10.1145/3726302.3730011 |
| 184 | Risk-Aware Driving Scenario Analysis with Large Language Models | Y. S. Gao, Mattia Piccinini, Johannes Betz | 2025-02-04 | arXiv | https://github.com/yuangao-tum/Riskaware-Scenario-analyse | https://doi.org/10.48550/arXiv.2502.02145 |
| 185 | Reinforced Prompt Personalization for Recommendation with Large Language Models | Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He | 2025-02-04 | ACM transactions on office information systems | https://github.com/maowenyu-11/RPP | https://doi.org/10.48550/arXiv.2407.17115 |
| 186 | SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency | Qianhao Yuan, Yanjiang Liu, Yaojie Lu, Hongyu Lin, Ben He, Xianpei Han, Le Sun | 2025-02-04 | arXiv | https://github.com/icip-cas/SAISA. | https://doi.org/10.48550/arXiv.2502.02458 |
| 187 | AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science | Chenyue Li, Wen Deng, Mengqian Lu, Binhang Yuan | 2025-02-03 | arXiv | https://github.com/Relaxed-System-Lab/AtmosSci-Bench. | https://doi.org/10.48550/arXiv.2502.01159 |
| 188 | Breaking Focus: Contextual Distraction Curse in Large Language Models | Yue Huang, Yanbo Wang, Zixiang Xu, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang | 2025-02-03 | arXiv | https://github.com/wyf23187/LLM_CDV. | https://doi.org/10.48550/arXiv.2502.01609 |
| 189 | AdaSVD: Adaptive Singular Value Decomposition for Large Language Models | Zhiteng Li, Mingyuan Xia, Jingyuan Zhang, Hui Zheng, Linghe Kong, Yulun Zhang, Xiaokang Yang | 2025-02-03 | arXiv | https://github.com/ZHITENGLI/AdaSVD. | https://doi.org/10.48550/arXiv.2502.01403 |
| 190 | sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models | Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, Gerald Quon | 2025-02-03 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/microsoft/sciLaMA. | https://doi.org/10.1101/2025.01.28.635153 |
| 191 | Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models | Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman Khan | 2025-02-03 | arXiv | https://github.com/HashmatShadab/Robust-LLaVA. | https://doi.org/10.48550/arXiv.2502.01576 |
| 192 | LIBRA: Measuring Bias of Large Language Model from a Local Context | B. Y. Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh | 2025-02-01 | Lecture notes in computer science | https://github.com/ipangbo/LIBRA. | https://doi.org/10.1007/978-3-031-88708-6_1 |
| 193 | MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-Processing | Yuxuan Chen, Xu Zhu, Hua Zhou, Zhuyin Ren | 2025-02-01 | arXiv | https://github.com/Terry-cyx/MetaOpenFOAM | https://doi.org/10.48550/arXiv.2502.00498 |
| 194 | Speculative Ensemble: Fast Large Language Model Ensemble via Speculation | Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Peng Geng, Yang Xu | 2025-02-01 | arXiv | https://github.com/Kamichanw/Speculative-Ensemble | https://doi.org/10.48550/arXiv.2502.01662 |
| 195 | LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models | Shenghao Fu, Qize Yang, Qijie Mo, Junkai Yan, Xihan Wei, Jingke Meng, Xiaohua Xie, Wei-Shi Zheng | 2025-01-31 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | https://github.com/iSEE-Laboratory/LLMDet. | https://openaccess.thecvf.com/content/CVPR2025/html/Fu_LLMDet_Learning_Strong_Open-Vocabulary_Object_Detectors_under_the_Supervision_of_CVPR_2025_paper.html |
| 196 | Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation | Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao | 2025-01-29 | arXiv | https://github.com/w-yibo/Panacea | https://doi.org/10.48550/arXiv.2501.18100 |
| 197 | Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation | Tiansheng Huang, Sihao Hu, Fatih İlhan, Selim Furkan Tekin, Ling Liu | 2025-01-29 | arXiv | https://github.com/git-disl/Virus | https://doi.org/10.48550/arXiv.2501.17433 |
| 198 | SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model | Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jianqing Fan, Bo Tang, Shichao Song, Mengwei Wang... | 2025-01-28 | OpenAlex | https://github.com/IAAR-Shanghai/SafeRAG. | https://doi.org/10.18653/v1/2025.acl-long.230 |
| 199 | Large Language Model Critics for Execution-Free Evaluation of Code Changes | Aashish Yadavally, Hoan Anh Nguyen, Laurent Callot, Gauthier Guinet | 2025-01-27 | arXiv | https://github.com/amazon-science/code-agent-eval. | https://doi.org/10.48550/arXiv.2501.16655 |
| 200 | Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models | Hulingxiao He, Geng Li, Zengmin Geng, Jinglin Xu, Yuxin Peng | 2025-01-25 | ICLR | https://github.com/PKU-ICST-MIPL/Finedefics_ICLR2025. | https://openreview.net/forum?id=p3NKpom1VL |
| 201 | JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models | Michael K. Chen, Xikun Zhang, Dacheng Tao | 2025-01-24 | arXiv | https://github.com/michaelchen-lab/JustLogic | https://doi.org/10.48550/arXiv.2501.14851 |
| 202 | Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models | Bo Gao, Michael W. Spratling | 2025-01-23 | arXiv | https://github.com/iminfine/freeatten. | https://doi.org/10.48550/arXiv.2501.13428 |
| 203 | OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting | Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou | 2025-01-23 | ICLR | https://github.com/BrotherHappy/OSTQuant | https://openreview.net/forum?id=rAcgDBdKnP |
| 204 | Can Large Language Models Understand Preferences in Personalized Recommendation? | Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang | 2025-01-23 | arXiv | https://github.com/TamSiuhin/PerRecBench | https://doi.org/10.48550/arXiv.2501.13391 |
| 205 | An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models | Xiaoyu Chu, Sacheendra Talluri, Qingxian Lu, Alexandru Iosup | 2025-01-21 | OpenAlex | https://github.com/atlarge-research/llm-service-analysis. | https://doi.org/10.48550/arXiv.2501.12469 |
| 206 | Can open source large language models be used for tumor documentation in Germany? - An evaluation on urological doctors' notes | Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing, Torsten Panholzer | 2025-01-21 | BioData Mining | https://github.com/stefan-m-lenz/UroLlmEval. | https://doi.org/10.1186/s13040-025-00463-8 |
| 207 | Distillation Quantification for Large Language Models | Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xinrun Du, Sirui He, Jiaheng Liu, Min Yang, Zhoufutu Wen, Shiwen Ni | 2025-01-21 | arXiv | https://github.com/Aegis1863/LLMs-Distillation-Quantification. | https://doi.org/10.48550/arXiv.2501.12619 |
| 208 | ESCARGOT: An AI Agent Leveraging Large Language Models, Dynamic Graph of Thoughts, and Biomedical Knowledge Graphs for Enhanced Reasoning | Nicholas Matsumoto, Hyun‐Jun Choi, Jay Moran, Miguel Hernandez, Mythreye Venkatesan, Xi Li, Jui-Hsuan Chang, Paul P. Wan... | 2025-01-20 | Bioinformatics | https://github.com/EpistasisLab/ESCARGOT. | https://doi.org/10.1093/bioinformatics/btaf031 |
| 209 | InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models | Jing Ding, Feng Kai, Binbin Lin, J. G. Cai, Qiushi Wang, Y. G. Xie, Xiaojin Zhang, Zhongyu Wei, Wei Chen | 2025-01-18 | arXiv | https://github.com/HaileyFamo/InsQABench.git. | https://doi.org/10.48550/arXiv.2501.10943 |
| 210 | CXR-LLaVA: a multimodal large language model for interpreting chest X-ray images | Seowoo Lee, M. D., Jiwon Youn, Mansu Kim D., Soon Ho Yoon, M. D. D | 2025-01-15 | European Radiology | https://github.com/ECOFRI/CXR_LLAVA. | https://doi.org/10.1007/s00330-024-11339-6 |
| 211 | PokerBench: Training Large Language Models to become Professional Poker Players | Richard Zhuang, Akshat Gupta, Chunhui Yang, Aniket Rahane, Zhengyu Li, Gopala Anumanchipalli | 2025-01-14 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/pokerllm/pokerbench | https://doi.org/10.1609/aaai.v39i24.34814 |
| 212 | LLM4SR: A Survey on Large Language Models for Scientific Research | Zhongling Luo, Zonglin Yang, Zheng Xu, Wei Yang, Xinya Du | 2025-01-08 | arXiv | https://github.com/du-nlp-lab/LLM4SR | https://doi.org/10.48550/arXiv.2501.04306 |
| 213 | Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models | Qianchen Ren, Jie Zeng, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Z. J. Sun, F. Richard Yu | 2025-01-08 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/Rainier-rq/FollowSoftConstraints. | https://doi.org/10.18653/v1/2025.findings-acl.1004 |
| 214 | ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events | Duygu Sezen Islakoglu, Jan-Christoph Kalo | 2025-01-06 | OpenAlex | https://github.com/duyguislakoglu/chronosense. | https://doi.org/10.18653/v1/2025.acl-short.46 |
| 215 | Visual Large Language Models for Generalized and Specialized Applications | Yifan Li, Zhixin Lai, Wentao Bao, Zhen Tan, Anh Dao, Kewei Sui, Jiayi Shen, Dong Liu, Huan Liu, Yu Kong | 2025-01-06 | arXiv | https://github.com/JackYFL/awesome-VLLMs. | https://doi.org/10.48550/arXiv.2501.02765 |
| 216 | MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments | Cai Yin, Zhouhong Gu, Zhangxin Du, Zheyu Ye, Shaosheng Cao, Yiqian Xu, Hongwei Feng, Ping Chen | 2025-01-03 | OpenAlex | https://github.com/lime728/MIRAGE | https://doi.org/10.18653/v1/2025.acl-short.2 |
| 217 | Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap | Wei Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Liqiao Chen, Jian-Ling Wang,... | 2025-01-03 | arXiv | https://github.com/YuanchenBei/Awesome-Cold-Start-Recommendation. | https://doi.org/10.48550/arXiv.2501.01945 |
| 218 | Aligning Large Language Models for Faithful Integrity Against Opposing Argument | Yong Zhao, Yang Deng, See-Kiong Ng, Tat‐Seng Chua | 2025-01-02 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/zhaoy777/AFICE.git | https://doi.org/10.1609/aaai.v39i26.34990 |
| 219 | Multi-Agent Systems Powered by Large Language Models: Applications in Swarm Intelligence | Cristian Jimenez-Romero, Alper Yegenoglu, Christian Blum | 2025-01-01 | Frontiers in Artificial Intelligence | https://github.com/crjimene/swarm_gpt | https://doi.org/10.48550/arXiv.2503.03800 |
| 220 | Predicting differentially methylated cytosines in TET and DNMT3 knockout mutants via a large language model | Stefano Lonardi, Stefano Lonardi | 2025-01-01 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/ucrbioinfo/dmc_prediction. | https://doi.org/10.1101/2024.05.02.592257 |
| 221 | PointLLM-V2: Empowering Large Language Models to Better Understand Point Clouds | Runsen Xu, Shuai Yang, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang, Dahua Lin | 2025-01-01 | IEEE Transactions on Pattern Analysis and Machine Intelligence | https://github.com/OpenRobotLab/PointLLM. | https://doi.org/10.1007/978-3-031-72698-9_8 |
| 222 | Pipeline to explore information on genome editing using large language models and genome editing meta-database | Takayuki Suzuki, Hidemasa Bono | 2025-01-01 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/szktkyk/extract_geinfo | https://doi.org/10.1101/2024.10.16.617154 |
| 223 | PIP: Perturbation-based Iterative Pruning for Large Language Models | Yi Cao, Wei-Jie Xu, Yucheng Shen, Weijie Shi, Chi-Min Chan, Jiajie Xu | 2025-01-01 | arXiv | https://github.com/caoyiiiiii/PIP. | https://doi.org/10.48550/arXiv.2501.15278 |
| 224 | PAT: Pruning-Aware Tuning for Large Language Models | Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du | 2025-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/kriskrisliu/PAT_Pruning-Aware-Tuning | https://doi.org/10.1609/aaai.v39i23.34649 |
| 225 | OptiChat: Bridging Optimization Models and Practitioners with Large Language Models | Hao Chen, Gonzalo Esteban Constante-Flores, Krishna Sri Ipsit Mantri, Sai Madhukiran Kompalli, Akshdeep Singh Ahluwalia,... | 2025-01-01 | INFORMS Journal on Data Science | https://github.com/li-group/OptiChat | https://doi.org/10.48550/arXiv.2501.08406 |
| 226 | Neuron based Personality Trait Induction in Large Language Models | Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Wayne Xin Zhao, Ji-Rong Wen | 2025-01-01 | ICLR | https://github.com/RUCAIBox/NPTI. | https://openreview.net/forum?id=LYHEY783Np |
| 227 | Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models | Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li | 2025-01-01 | OpenAlex | https://github.com/LAMDASZ-ML/Awesome-LLM-Reasoning-with-NeSy. | https://doi.org/10.48550/arXiv.2508.13678 |
| 228 | Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation | Junde Wu, Jiayuan Zhu, Yunli Qi, Jingkun Chen, Min Xu, Filippo Menolascina, Yueming Jin, Vicente Grau | 2025-01-01 | OpenAlex | https://github.com/MedicineToken/Medical-Graph-RAG | https://doi.org/10.18653/v1/2025.acl-long.1381 |
| 229 | MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents | Pan Tang, Shixiang Tang, Huanqi Pu, Zhiqing Miao, Zhixing Wang | 2025-01-01 | arXiv | https://github.com/tangpan360/MicroRCA-Agent. | https://doi.org/10.48550/arXiv.2509.15635 |
| 230 | Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models | Peng Liu, Shangde Gao, Yongqing Fu, Xiaoliang Wu, Stephen Tong, Ajitha Rajan, Hao Xu | 2025-01-01 | OpenAlex | https://github.com/zjuKeLiu/Mat-Instructions | https://doi.org/10.24963/ijcai.2025/1089 |
| 231 | M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models | Xiaojun Ye, Guanbao Liang, Chun Wang, Liangcheng Li, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou | 2025-01-01 | OpenAlex | https://github.com/eaglelab-zju/M4Bench. | https://doi.org/10.24963/ijcai.2025/762 |
| 232 | Leveraging Large Language Models for Predictive Analysis of Human Misery | Bishanka Seal, Rahul Seetharaman, Aman Bansal, Abhilash Nandy | 2025-01-01 | arXiv | https://github.com/abhi1nandy2/Misery_Data_Exps_GitHub | https://doi.org/10.48550/arXiv.2508.12669 |
| 233 | REEF: Representation Encoding Fingerprints for Large Language Models | Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao | 2025-01-01 | ICLR | https://github.com/tmylla/REEF. | https://openreview.net/forum?id=SnDmPkOJ0T |
| 234 | Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation | Jianpeng Zhao, Chenyu Yuan, Weiming Luo, Haoling Xie, Guangwei Zhang, Steven Jige Quan, Zixuan Yuan, Pengyang Wang, Deng... | 2025-01-01 | arXiv | https://github.com/dart-lab-research/LLM-S-Cube-Benchmark | https://doi.org/10.48550/arXiv.2509.06337 |
| 235 | Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro | Md. Rakibul Hasan, Yue Yao, Md. Zakir Hossain, Aneesh Krishna, Imre J. Rudas, Shafin Rahman, Tom Gedeon | 2025-01-01 | arXiv | https://github.com/hasan-rakibul/LLMPathy | https://doi.org/10.48550/arXiv.2501.00691 |
| 236 | LMCBert: An Automatic Academic Paper Rating Model Based on Large Language Models and Contrastive Learning | Chuanbin Liu, Xiaowu Zhang, Hongfei Zhao, Zhijie Liu, Xi Xi, Lean Yu | 2025-01-01 | IEEE Transactions on Cybernetics | https://github.com/iioSnail/LMCBert. | https://doi.org/10.1109/TCYB.2025.3550203 |
| 237 | QuickLLaMA: Query-aware Inference Acceleration for Large Language Models | Jingyao Li, Han Shi, Sitong Wu, Chuanyang Zheng, Zhenguo Li, Xin Jiang, Hong Xu, Jiaya Jia | 2025-01-01 | COLING | https://github.com/dvlab-research/Q-LLM. | https://aclanthology.org/2025.coling-main.34/ |
| 238 | Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning | Song Yu, Xiaofei Xu, Ke Deng, Li Li, Lin Tian | 2025-01-01 | arXiv | https://github.com/Aireduce952/Tree-of-Agents. | https://doi.org/10.48550/arXiv.2509.06436 |
| 239 | ReLearn: Unlearning via Learning for Large Language Models | Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu ... | 2025-01-01 | OpenAlex | https://github.com/zjunlp/unlearn. | https://doi.org/10.18653/v1/2025.acl-long.297 |
| 240 | Reliable Academic Conference Question Answering: A Study Based on Large Language Model | Zhiwei Huang, Long Jin, Junjie Wang, Mingchen Tu, Hua Yin, Zhiqiang Liu, Jiawei Meng, Huajun Chen, Wen Zhang | 2025-01-01 | Communications in computer and information science | https://github.com/zjukg/ConferenceQA. | https://doi.org/10.1007/978-981-96-1809-5_14 |
| 241 | WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct | Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yanson... | 2025-01-01 | ICLR | https://github.com/nlpxucan/WizardLM | https://openreview.net/forum?id=mMPMHWOdOy |
| 242 | VirNucPro: an identifier for the identification of viral short sequences using six-frame translation and large language models | Jing Li, Jia Mi, Wei Lin, Fengjuan Tian, Jing Wan, Jingyang Gao, Yigang Tong | 2025-01-01 | Briefings in Bioinformatics | https://github.com/Li-Jing-1997/VirNucPro. | https://doi.org/10.1093/bib/bbaf224 |
| 243 | Veracity-Oriented Context-Aware Large Language Models-Based Prompting Optimization for Fake News Detection | Weiqiang Jin, Yang Gao, Tao Tao, Xiujun Wang, Ningwei Wang, Baohai Wu, Biao Zhao | 2025-01-01 | International Journal of Intelligent Systems | https://github.com/albert-jin/CAPE-FND | https://doi.org/10.1155/int/5920142 |
| 244 | User Behavior Simulation with Large Language Model-based Agents for Recommender Systems | Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin... | 2025-01-01 | ACM transactions on office information systems | https://github.com/RUC-GSAI/YuLan-Rec | https://doi.org/10.1145/3708985 |
| 245 | TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking | Danqing Wang, Jianxin Ma, Fei Fang, Lei Li | 2025-01-01 | ICLR | https://github.com/dqwang122/ThinkHub. | https://openreview.net/forum?id=VIUisLx8lQ |
| 246 | LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models | Junfeng Jiao, Saleh Afroogh, Arvind R. Murali, Kevin J. Chen, David Atkinson, Amit Dhurandhar | 2025-01-01 | Scientific Reports | https://github.com/The-Responsible-AI-Initiative/LLM_Ethics_Benchmark.git | https://doi.org/10.1038/s41598-025-18489-7 |
| 247 | Towards Prompt Engineering and Large Language Models for Post-OCR correction in handwritten texts | Sávio Santos de Araújo, Byron Leite Dantas Bezerra, Arthur Flor de Sousa Neto | 2025-01-01 | OpenAlex | https://github.com/savi8sant8s/zero-shot-spelling-corrector. | https://doi.org/10.5753/stil.2025.37859 |
| 248 | Towards Explainable Fake Image Detection with Multi-Modal Large Language Models | Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang | 2025-01-01 | OpenAlex | https://github.com/Gennadiyev/mllm-defake. | https://doi.org/10.48550/arXiv.2504.14245 |
| 249 | Towards Atoms of Large Language Models | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao | 2025-01-01 | arXiv | https://github.com/ChenhuiHu/towards_atoms. | https://doi.org/10.48550/arXiv.2509.20784 |
| 250 | Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models | Guangzhi Xiong, Eric Xie, Corey Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhan... | 2025-01-01 | OpenAlex | https://github.com/Teddy-XiongGZ/TruthHypo. | https://doi.org/10.48550/arXiv.2505.14599 |
| 251 | TeleEval-OS: Performance evaluations of large language models for telecommunications operations scheduling | Yanyan Wang, Yingying Wang, Junli Liang, Yin Xu, Yunlong Liu, Xu Yiming, Zhenzhen Jiang, Zhen Li, Fei Li, Long Zhao, Kun... | 2025-01-01 | Intelligent Data Analysis | https://github.com/zjsllab/TeleEval-OS. | https://doi.org/10.48550/arXiv.2506.11017 |
| 252 | Taming Unleashed Large Language Models With Blockchain for Massive Personalized Reliable Healthcare | Lianshan Sun, Diandong Liu, Maoxue Wang, Yongyi Han, Yanqing Zhang, Biwei Zhou, Yi Ren, Peng zhu | 2025-01-01 | IEEE Journal of Biomedical and Health Informatics | https://github.com/LDDLQ/ChatCBD. | https://doi.org/10.1109/JBHI.2025.3528526 |
| 253 | Systematic Outliers in Large Language Models | Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang | 2025-01-01 | ICLR | https://github.com/an-yongqi/systematic-outliers. | https://openreview.net/forum?id=rLX7Vyyzus |
| 254 | Schema Inference for Tabular Data Repositories Using Large Language Models | Zhenyu Wu, Jiaoyan Chen, Norman W. Paton | 2025-01-01 | arXiv | https://github.com/PierreWoL/SILLM. | https://doi.org/10.48550/arXiv.2509.04632 |
| 255 | STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks | Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin, Jianqiang Li | 2025-01-01 | OpenAlex | https://github.com/sss483/STLSP. | https://doi.org/10.24963/ijcai.2025/354 |
| 256 | SPRI: Aligning Large Language Models with Context-Situated Principles | Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin | 2025-01-01 | arXiv | https://github.com/honglizhan/SPRI-public. | https://doi.org/10.48550/arXiv.2502.03397 |
| 257 | SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering | Zhang Yan, Jiaqing Lin, Miao Zhang, Kui Xiao, Xiaoju Hou, Jing Zhao, Zhifei Li | 2025-01-01 | arXiv | https://github.com/HubuKG/SCRA-VQA. | https://doi.org/10.48550/arXiv.2509.20871 |
| 258 | SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models | Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari | 2025-01-01 | OpenAlex | https://github.com/zhuang-li/SCAR | https://doi.org/10.18653/v1/2025.acl-long.625 |
| 259 | Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL | Hongming He, Zihua Rong, Kunpeng Ji, Chenyang Li, Qing Huang, 充正 宮下, Lan Yang, Honggang Zhang | 2025-01-01 | arXiv | https://github.com/Henryhe09/DRER. | https://doi.org/10.48550/arXiv.2509.06024 |
| 260 | LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models | Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du | 2025-01-01 | Transactions of the Association for Computational Linguistics | https://github.com/Xiaohao-Yang/Topic_Model_Evaluation. | https://doi.org/10.48550/arXiv.2406.09008 |
| 261 | Large language models open new way of AI-assisted molecule design for chemists | Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama | 2025-01-01 | Journal of Cheminformatics | https://github.com/molecule-generator-collection/ChatChemTS. | https://doi.org/10.26434/chemrxiv-2024-1p82f |
| 262 | Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models | Joseph Lee, Shuhua Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong‐Tran, Tianlon... | 2025-01-01 | arXiv (Cornell University) | https://github.com/PennShenLab/FREEFORM. | http://arxiv.org/abs/2410.01795 |
| 263 | Benchmarking DNA large language models on quadruplexes | Oleksandr Cherednichenko, Alan Herbert, Maria Poptsova | 2025-01-01 | Computational and Structural Biotechnology Journal | https://github.com/powidla/G4s-FMs. | https://doi.org/10.1016/j.csbj.2025.03.007 |
| 264 | Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) | Dong Wook Shu, Mengnan Du | 2025-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/Tizzzzy/Demonstration_Selection_Overview. | https://doi.org/10.1609/aaai.v39i28.35299 |
| 265 | Causal Intervention Is What Large Language Models Need for Spatio-Temporal Forecasting | Shijie Li, He Li, Xiaojing Li, Yong Xu, Zhenhong Lin, Huaiguang Jiang | 2025-01-01 | IEEE Transactions on Cybernetics | https://github.com/lishijie15/STCInterLLM. | https://doi.org/10.1109/TCYB.2025.3569333 |
| 266 | CFD-LLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics | Nithin Somasekharan, Ling Yue, Yadi Cao, Weichao Li, Patrick Emami, Pochinapeddi Sai Bhargav, Anurag Acharya, Xingyu Xie... | 2025-01-01 | arXiv | https://github.com/NREL-Theseus/cfdllmbench | https://doi.org/10.48550/arXiv.2509.20374 |
| 267 | CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model | Lei Yang, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang | 2025-01-01 | arXiv | https://github.com/TongjiFinLab/CFBenchmark. | https://doi.org/10.48550/arXiv.2506.13055 |
| 268 | CAPE: Context-Aware Personality Evaluation Framework for Large Language Models | Jivnesh Sandhan, Fei Cheng, Tushar Sandhan, Yugo Murawaki | 2025-01-01 | arXiv | https://github.com/jivnesh/CAPE | https://doi.org/10.48550/arXiv.2508.20385 |
| 269 | CALM: Curiosity-Driven Auditing for Large Language Models | Xiaoyu Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang | 2025-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/x-zheng16/CALM.git. | https://doi.org/10.1609/aaai.v39i26.34991 |
| 270 | Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models | Lianchen Jia, Chaoyang Li, Ziqi Yuan, Jiahui Chen, Tianchi Huang, Jiangchuan Liu, Lifeng Sun | 2025-01-01 | OpenAlex | https://github.com/thu-media/ComTree. | https://doi.org/10.48550/arXiv.2508.16448 |
| 271 | Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? | Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao | 2025-01-01 | ICLR | https://github.com/iMoonLab/LLM4Hypergraph. | https://openreview.net/forum?id=28qOQwjuma |
| 272 | Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation | Chunliang Li, Yitong Zhang, Jia Li, Liyi Cai, Ge Li | 2025-01-01 | arXiv | https://github.com/zhangyitonggg/dllm4code. | https://doi.org/10.48550/arXiv.2509.11252 |
| 273 | Automating candidate gene prioritization with large language models: from naive scoring to literature-grounded validation | Taushif Khan, Mohammed Toufiq, Marina Yurieva, Nitaya Indrawattana, Akanitt Jittmittraphap, Nathamon Kosoltanapiwat, Por... | 2025-01-01 | Bioinformatics | https://github.com/taushifkhan/llm-geneprioritization-framework | https://doi.org/10.1093/bioinformatics/btaf541 |
| 274 | ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models | Haoxuan Li, Zhen Wen, Qiqi Jiang, Chenxiao Li, Yuwei Wu, Yuchen Yang, Yiyao Wang, Xiuqi Huang, Minfeng Zhu, Wei Chen | 2025-01-01 | arXiv | https://github.com/Happy-Hippo209/ConceptViz. | https://doi.org/10.48550/arXiv.2509.20376 |
| 275 | An Empirical Analysis of Uncertainty in Large Language Model Evaluations | Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang | 2025-01-01 | ICLR | https://github.com/hasakiXie123/LLM-Evaluator-Uncertainty. | https://openreview.net/forum?id=J4xLuCt2kg |
| 276 | Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting | Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei Clifton, Ping Zhang, Jiebo Luo, Yefeng Zh... | 2025-01-01 | IEEE Transactions on Pattern Analysis and Machine Intelligence | https://github.com/ai-in-health/PromptLLM. | https://doi.org/10.1109/tpami.2025.3534586 |
| 277 | AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments | Zhiheng Xi, Yiwen Ding, Wen-Xiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Xin Guo, Dingwen Yang, Chenyang Liao, He ... | 2025-01-01 | OpenAlex | https://github.com/WooooDyy/AgentGym. | https://doi.org/10.18653/v1/2025.acl-long.1355 |
| 278 | Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities | Jinhua Liang, Xubo Liu, Wenwu Wang, Mark D. Plumbley, Huy P. Phan, Emmanouil Benetos | 2025-01-01 | IEEE Transactions on Audio Speech and Language Processing | https://github.com/JinhuaLiang/APT. | https://doi.org/10.1109/taslpro.2025.3533375 |
| 279 | ARB-LLM: Alternating Refined Binarizations for Large Language Models | Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xia... | 2025-01-01 | ICLR | https://github.com/ZHITENGLI/ARB-LLM. | https://openreview.net/forum?id=ZU8OdDLTts |
| 280 | APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking | Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran... | 2025-01-01 | arXiv | https://github.com/jincan333/APEER. | https://doi.org/10.48550/arXiv.2406.14449 |
| 281 | A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models | Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng,... | 2025-01-01 | arXiv | https://github.com/blacksnail789521/Time-Series-Reasoning-Survey | https://doi.org/10.48550/arXiv.2509.11575 |
| 282 | JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering | Renmiao Chen, Shiyao Cui, Xuancheng Huang, Chengwei Pan, Victor Shea-Jay Huang, Qinglin Zhang, Xuan Ouyang, Zhexin Zhang... | 2025-01-01 | OpenAlex | https://github.com/thu-coai/JPS | https://doi.org/10.48550/arXiv.2508.05087 |
| 283 | A Closer Look at Machine Unlearning for Large Language Models | Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin | 2025-01-01 | ICLR | https://github.com/sail-sg/closer-look-LLM-unlearning. | https://openreview.net/forum?id=Q1MHvGmhyT |
| 284 | Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization | Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover | 2025-01-01 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/Hritikbansal/dove. | https://doi.org/10.18653/v1/2025.findings-acl.39 |
| 285 | Large Language Models Meet Legal Artificial Intelligence: A Survey | Zhitian Hou, Zihan Ye, Nanli Zeng, Tianyong Hao, Kun Zeng | 2025-01-01 | arXiv | https://github.com/ZhitianHou/LLMs4LegalAI. | https://doi.org/10.48550/arXiv.2509.09969 |
| 286 | Control Industrial Automation System with Large Language Model Agents | Yuchen Xia, Nasser Jazdi, Jize Zhang, Chaitanya Shah, Michael Weyrich | 2025-01-01 | ETFA | https://github.com/YuchenXia/LLM4IAS | https://doi.org/10.1109/ETFA65518.2025.11205539 |
| 287 | Cumulative Reasoning with Large Language Models | Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew Chi-Chih Yao | 2025-01-01 | Trans. Mach. Learn. Res. | https://github.com/iiis-ai/cumulative-reasoning. | https://openreview.net/forum?id=grW15p4eq2 |
| 288 | Hyperbolic Large Language Models | Sarang Patil, Zeyong Zhang, Yiran Huang, Tengfei Ma, Mengjia Xu | 2025-01-01 | arXiv | https://github.com/sarangp2402/Hyperbolic-LLM-Models | https://doi.org/10.48550/arXiv.2509.05757 |
| 289 | How Can Recommender Systems Benefit from Large Language Models: A Survey | Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huife... | 2025-01-01 | ACM transactions on office information systems | https://github.com/CHIANGEL/Awesome-LLM-for-RecSys | https://doi.org/10.48550/arXiv.2306.05817 |
| 290 | Harnessing Multi-modal Large Language Models for Measuring and Interpreting Color Differences | Zhihua Wang, Long Yu, Qiuping Jiang, Chao Huang, Xiaochun Cao | 2025-01-01 | IEEE Transactions on Image Processing | https://github.com/LongYu-LY/CD-Reasoning. | https://doi.org/10.1109/tip.2024.3522802 |
| 291 | Guarded Query Routing for Large Language Models | Richard Sléher, William Brach, Tibor Sloboda, Kristián Kostál, Lukas Galke | 2025-01-01 | Frontiers in artificial intelligence and applications | https://github.com/williambrach/gqr. | https://doi.org/10.48550/arXiv.2505.14524 |
| 292 | GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest | Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Yu Liu, Kai Chen, Ping Luo | 2025-01-01 | Lecture notes in computer science | https://github.com/jshilong/GPT4RoI. | https://doi.org/10.1007/978-3-031-91813-1_4 |
| 293 | From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning | Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu | 2025-01-01 | Neurocomputing | https://github.com/iezhuozhuo/f4llm. | https://doi.org/10.1016/j.neucom.2025.130572 |
| 294 | FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting | Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang | 2025-01-01 | OpenAlex | https://github.com/biya0105/FreqLLM. | https://doi.org/10.24963/ijcai.2025/377 |
| 295 | Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models | Yuanchen Zhou, Shuo Jiang, Jie Zhu, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang | 2025-01-01 | arXiv | https://github.com/aliyun/qwen-dianjin. | https://doi.org/10.48550/arXiv.2508.15202 |
| 296 | Exploring homology detection via k-means clustering of proteins embedded with a large language model | Thomas Minotto, Antoine Claessens, Thomas D. Otto | 2025-01-01 | Bioinformatics | https://github.com/ThomasGTHB/OrthoLM | https://doi.org/10.1093/bioinformatics/btaf472 |
| 297 | Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? | Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaiz... | 2025-01-01 | COLING | https://github.com/Luckfort/CD | https://aclanthology.org/2025.coling-main.37/ |
| 298 | Exploring Brazil's LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese | Gabriel Assis, Cláudia Freitas, Aline Paes | 2025-01-01 | Journal of the Brazilian Computer Society | https://github.com/MeLLL-UFF/brfauna-gen-eval. | https://doi.org/10.5753/jbcs.2025.5814 |
| 299 | Evaluating the Prompt Steerability of Large Language Models | Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth Daly, Kush R. Varshney, Eitan Farchi, Pierre D... | 2025-01-01 | OpenAlex | https://github.com/IBM/prompt-steering. | https://doi.org/10.18653/v1/2025.naacl-long.400 |
| 300 | Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity | Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang | 2025-01-01 | OpenAlex | https://github.com/dgl-prc/ldfighter | https://doi.org/10.24963/ijcai.2025/40 |
| 301 | Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset | Anand Menon, Samit S. Miftah, Shamik Kundu, Souvik Kundu, Amisha Srivastava, Arnab Raha, Gabriel Theodor Sonnenschein, S... | 2025-01-01 | ACM Transactions on Design Automation of Electronic Systems | https://github.com/AnandMenon12/VERT. | https://doi.org/10.48550/arXiv.2503.08923 |
| 302 | Enhancing Herbal Medicine-Drug Interaction Prediction Using Large Language Models | Sisi Yuan, Zhecheng Zhou, Xinyuan Jin, Linlin Zhuo, Keqin Li | 2025-01-01 | IEEE Journal of Biomedical and Health Informatics | https://github.com/sisyyuan/HDI. | https://doi.org/10.1109/JBHI.2025.3558667 |
| 303 | Dual Adapter Tuning of Vision-Language Models Using Large Language Models | Mohammad Reza Zarei, Abbas Akkasi, Majid Komeili | 2025-01-01 | International Journal of Computational Intelligence Systems | https://github.com/mrzarei5/DATViL. | https://doi.org/10.1007/s44196-025-00853-0 |
| 304 | Do Large Language Model Benchmarks Test Reliability? | Joshua Vendrow, Edward Vendrow, Sara Beery, Aleksander Madry | 2025-01-01 | arXiv | https://github.com/MadryLab/platinum-benchmarks | https://doi.org/10.48550/arXiv.2502.03461 |
| 305 | Disentangling Memory and Reasoning Ability in Large Language Models | Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang | 2025-01-01 | OpenAlex | https://github.com/MingyuJ666/Disentangling-Memory-and-Reasoning. | https://doi.org/10.18653/v1/2025.acl-long.84 |
| 306 | DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation | Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed | 2025-01-01 | Journal of Computing and Information Science in Engineering | https://github.com/anniedoris/design_qa | https://doi.org/10.48550/arXiv.2404.07917 |
| 307 | Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning | Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang | 2025-01-01 | OpenAlex | https://github.com/CLMASP/CLMASP. | https://doi.org/10.24963/ijcai.2025/509 |
| 308 | MentalQLM: A lightweight large language model for mental healthcare based on instruction tuning and dual LoRA modules | Jiayu Shi, Zexiao Wang, Jiandong Zhou, Chengyu Liu, Poly Z. H. Sun, Erying Zhao, Lei Lü | 2024-12-30 | IEEE Journal of Biomedical and Health Informatics | https://github.com/tortorish/MentalQLM. | https://doi.org/10.1101/2024.12.29.24319755 |
| 309 | MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios | Jiaqi Fan, Jianhua Wu, Jincheng Gao, Jianhao Yu, Yafei Wang, Hongqing Chu, Bingzhao Gao | 2024-12-26 | arXiv (Cornell University) | https://github.com/fjq-tongji/MLLM-SUL. | http://arxiv.org/abs/2412.19406 |
| 310 | Survey and Improvement Strategies for Gene Prioritization with Large Language Models | Matthew B. Neeley, Guantong Qi, Guanchao Wang, Ruixiang Tang, Dongxue Mao, Chaozhong Liu, Sasidhar Pasupuleti, Bo Yuan, ... | 2024-12-26 | Bioinformatics Advances | https://github.com/LiuzLab/GPT-Diagnosis. | https://doi.org/10.48550/arXiv.2501.18794 |
| 311 | Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment | Ziang Yan, Zhilin Li, Yinan He, Chenting Wang, Kunchang Li, Xinhao Li, Xiangyu Zeng, Zhong Lin Wang, Yali Wang, Yu Qiao,... | 2024-12-26 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | https://github.com/OpenGVLab/TPO | https://openaccess.thecvf.com/content/CVPR2025/html/Yan_Task_Preference_Optimization_Improving_Multimodal_Large_Language_Models_with_Vision_CVPR_2025_paper.html |
| 312 | An Engorgio Prompt Makes Large Language Model Babble on | Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Hanxun Qiu, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu | 2024-12-26 | ICLR | https://github.com/jianshuod/Engorgio-prompt. | https://openreview.net/forum?id=m4eXBo0VNc |
| 313 | A Survey on Large Language Model Acceleration based on KV Cache Management | Haoyang Li, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole Hu, Wei Dong, Qing Li, Lei Chen | 2024-12-26 | Trans. Mach. Learn. Res. | https://github.com/TreeAI-Lab/Awesome-KV-Cache-Management | https://openreview.net/forum?id=z3JZzu9EA3 |
| 314 | 3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding | Tatiana Zemskova, Dmitry Yudin | 2024-12-24 | arXiv (Cornell University) | https://github.com/CognitiveAISystems/3DGraphLLM. | http://arxiv.org/abs/2412.18450 |
| 315 | ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation | Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, C... | 2024-12-24 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/zhaoyuzhi/ICM-Assistant. | https://doi.org/10.1609/aaai.v39i8.32908 |
| 316 | Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study | Xuefeng Jiang, L. H. Wu, Sheng Sun, Jia Li, Jingjing Xue, Yuwei Wang, Tingting Wu, Min Liu | 2024-12-24 | arXiv (Cornell University) | https://github.com/SakiRinn/LLM4CVD | http://arxiv.org/abs/2412.18260 |
| 317 | Large Language Model Safety: A Holistic Survey | Dan Shi, Tianhao Shen, Yufei Huang, Zhigen Li, Yongqi Leng, Renren Jin, Chuang Liu, Xinwei Wu, Zishan Guo, Linhao Yu, Li... | 2024-12-23 | arXiv (Cornell University) | https://github.com/tjunlp-lab/Awesome-LLM-Safety-Papers. | http://arxiv.org/abs/2412.17686 |
| 318 | Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models | Xuan Lin, Long Chen, Yile Wang, Xiangxiang Zeng, Philip S. Yu | 2024-12-23 | arXiv (Cornell University) | https://github.com/chenlong164/PEIT. | http://arxiv.org/abs/2412.18084 |
| 319 | Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval | Luo Ji, Fulai Guo, Teng Chen, Qing Gu, Xiaoyu Wang, Ningyuan Xi, Yihong Wang, Peng Yu, Yue Zhao, Hongyang Lei, Zhonglin ... | 2024-12-21 | Lecture notes in computer science | https://github.com/flyfree5/LaHoRe. | https://doi.org/10.1007/978-3-031-88714-7_27 |
| 320 | Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation | Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas ... | 2024-12-20 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/mohammadi-ali/MetamorphASM. | https://doi.org/10.1609/aaai.v39i23.34672 |
| 321 | PruneVid: Visual Token Pruning for Efficient Video Large Language Models | Xiaohu Huang, Hao Zhou, K. L. Han | 2024-12-20 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/Visual-AI/PruneVid. | https://doi.org/10.18653/v1/2025.findings-acl.1024 |
| 322 | Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models | Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou | 2024-12-19 | OpenAlex | https://github.com/8421BCD/fullrank | https://doi.org/10.18653/v1/2025.acl-long.8 |
| 323 | Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models | Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong | 2024-12-19 | COLING | https://github.com/hfutml/Calibration-MLLM | https://aclanthology.org/2025.coling-main.208/ |
| 324 | Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework | Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu | 2024-12-19 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/Cortantse/MOMA. | https://doi.org/10.1609/aaai.v39i24.34748 |
| 325 | InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models | Cong Wei, Yujie Zhong, Haoxian Tan, Yingsen Zeng, Yong Liu, Zheng Zhao, Yujiu Yang | 2024-12-18 | arXiv (Cornell University) | https://github.com/congvvc/InstructSeg. | http://arxiv.org/abs/2412.14006 |
| 326 | ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study | Eric Modesitt, Ke Yang, Spencer Hulsey, Xin Liu, ChengXiang Zhai, Volodymyr V. Kindratenko | 2024-12-18 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/ModeEric/ORBIT-Llama | https://doi.org/10.18653/v1/2025.findings-acl.51 |
| 327 | ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals | Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang | 2024-12-18 | arXiv (Cornell University) | https://github.com/utkarsh-dmx/project-resq. | http://arxiv.org/abs/2412.14363 |
| 328 | DateLogicQA: Benchmarking Temporal Biases in Large Language Models | Gagan Bhatia, MingZe Tang, Cristina Mahanta, Madiha Kazi | 2024-12-17 | OpenAlex | https://github.com/gagan3012/EAIS-Temporal-Bias | https://doi.org/10.18653/v1/2025.naacl-srw.32 |
| 329 | RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation | Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yongkang Wu, Zhonghua Li, Qi Ye, Zhicheng Dou | 2024-12-16 | OpenAlex | https://github.com/sunnynexus/RetroLLM | https://doi.org/10.18653/v1/2025.acl-long.819 |
| 330 | SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models | Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang | 2024-12-16 | ICLR | https://github.com/thu-coai/SPaR. | https://openreview.net/forum?id=9chRqsPOGL |
| 331 | NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning | Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He | 2024-12-16 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/xinykou/NLSR | https://doi.org/10.1609/aaai.v39i24.34762 |
| 332 | Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits | Bohan Li, J Guan, Longxu Dou, Yun‐Long Feng, Dingzirui Wang, Yang Xu, Enbo Wang, Qiguang Chen, Bichen Wang, Xiao Xu, Yim... | 2024-12-16 | COLING | https://github.com/Personality-NLP/MbtiBench. | https://aclanthology.org/2025.coling-main.339/ |
| 333 | Assessing the Limitations of Large Language Models in Clinical Fact Decomposition | Monica Munnangi, Akshay Swaminathan, Jason Fries, Jenelle Jindal, Sanjana Narayanan, Iván López, Lucia Tu, Philip Chung,... | 2024-12-16 | arXiv (Cornell University) | https://github.com/som-shahlab/factehr | http://arxiv.org/abs/2412.12422 |
| 334 | BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement | Yinwei Du, Shunian Chen, Wenbo Zan, Peizhao Li, Mingxuan Wang, Dongwoon Song, Bo Li, Yan Hu, Benyou Wang | 2024-12-16 | arXiv (Cornell University) | https://github.com/FreedomIntelligence/BlenderLLM | http://arxiv.org/abs/2412.14203 |
| 335 | A survey on LoRA of large language models | Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi Xu, Yu Mi, Zhonghao Hu, Yunjun Gao | 2024-12-14 | Frontiers of Computer Science | https://github.com/ZJU-LLMs/Awesome-LoRAs.git | https://doi.org/10.1007/s11704-024-40663-9 |
| 336 | B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens | Zhuqiang Lu, Zhenfei Yin, Meilin He, Zhihui Wang, Zicheng Liu, Zhiyong Wang, Kun Hu | 2024-12-13 | arXiv (Cornell University) | https://github.com/zhuqiangLu/B-VLLM. | http://arxiv.org/abs/2412.09919 |
| 337 | Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine | Xiaoshuang Huang, Lingdong Shen, Jia Liu, Fangxin Shang, Hongxiang Li, Haifeng Huang, Yehui Yang | 2024-12-12 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/ShawnHuang497/MedPLIB. | https://doi.org/10.1609/aaai.v39i4.32394 |
| 338 | Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion | Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng | 2024-12-12 | COLING | https://github.com/LB0828/FtG | https://aclanthology.org/2025.coling-main.740/ |
| 339 | Simulate Scientific Reasoning with Multiple Large Language Models: An Application to Alzheimer’s Disease Combinatorial Therapy | Qidi Xu, Xiaozhong Liu, Xiaoqian Jiang, Yejin Kim | 2024-12-12 | medRxiv (Cold Spring Harbor Laboratory) | https://github.com/QidiXu96/Coated-LLM | https://doi.org/10.1101/2024.12.10.24318800 |
| 340 | Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation | Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan, Zheng Hui, Jiawei Yao | 2024-12-12 | Proceedings of the AAAI Conference on Artificial Intelligence | https://github.com/FanshuoZeng/Simignore | https://doi.org/10.1609/aaai.v39i10.33107 |
| 341 | Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models | Jiahui Li, Yongchang Hao, Hanqiu Xu, Xing Wang, Yu Hong | 2024-12-11 | COLING | https://github.com/jiah-li/magic. | https://aclanthology.org/2025.coling-main.305/ |
| 342 | Concept Bottleneck Large Language Models | Chung-En Sun, Tuomas P. Oikarinen, Berk Ustun, Tsui-Wei Weng | 2024-12-10 | ICLR | https://github.com/Trustworthy-ML-Lab/CB-LLMs. | https://openreview.net/forum?id=RC5FPYVQaH |
| 343 | IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model | Weizhen Bian, Siyan Liu, Yubo Zhou, Dezhi Chen, Yijie Liao, Zhenzhen Fan, Aobo Wang | 2024-12-10 | Lecture notes in computer science | https://github.com/LuckyBian/ISY5001 | https://doi.org/10.1007/978-981-97-5489-2_24 |
| 344 | PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models | Qian Zhang, Panfeng Chen, Shuo Feng, Shuyu Liu, Jiali Li, Heng Zhao, Mei Chen, Hui Li, Yanhao Wang | 2024-12-09 | Frontiers of Computer Science | https://github.com/ACMISLab/PediaBench. | https://doi.org/10.1007/s11704-025-41345-w |
| 345 | KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models | Fan Wang, Jing-Jiang Jiang, C.Y. Park, Sunghun Kim, Jing Tang | 2024-12-08 | ICLR | https://github.com/juyongjiang/KaSA. | https://openreview.net/forum?id=OQqNieeivq |
| 346 | Mitigating Entity-Level Hallucination in Large Language Models | Weihang Su, Yichen Tang, Qingyao Ai, Changyue Wang, Zhijing Wu, Yiqun Liu | 2024-12-08 | OpenAlex | https://github.com/oneal2000/EntityHallucination. | https://doi.org/10.48550/arXiv.2407.09417 |
| 347 | Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media | Kun Li, C. H. Dai, Zhou We, Songlin Hu | 2024-12-04 | arXiv (Cornell University) | https://github.com/linkseed18612254945/FineRob | http://arxiv.org/abs/2412.03148 |
| 348 | From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents | Xinyi Mou, Xuanwen Ding, Qi He, Liang Wang, Jingcong Liang, Xinnong Zhang, Libo Sun, Jiayu Lin, Jie Zhou, Xuanjing Huang... | 2024-12-04 | arXiv (Cornell University) | https://github.com/FudanDISC/SocialAgent | http://arxiv.org/abs/2412.03563 |
| 349 | Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning | Long Mai, Julie Carson-Berndsen | 2024-12-04 | arXiv (Cornell University) | https://github.com/mailong25/peft_diversity | http://arxiv.org/abs/2412.03343 |
| 350 | NJGPT: A Large Language Model-Driven, User-Friendly Solution for Phylogenetic Tree Construction | Zhixuan Wang, Haoyuan Huang, Teng Li, Allen G. Rodrigo | 2024-12-04 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/ZWan622/NJGPT1.0.git | https://doi.org/10.1101/2024.12.02.626464 |
| 351 | Improving Automated Deep Phenotyping Through Large Language Models Using Retrieval Augmented Generation | Brandon T. Garcia, Lauren Westerfield, Priya Yelemali, Nikhita Gogate, Edgar A. Rivera‐Muñoz, Haowei Du, Moez Dawood, An... | 2024-12-02 | medRxiv (Cold Spring Harbor Laboratory) | https://github.com/PoseyPod/RAG-HPO | https://doi.org/10.1101/2024.12.01.24318253 |
| 352 | Beyond Labels: Aligning Large Language Models with Human-Like Reasoning | Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Ihsanul Haque Asif, Jason M. E. Ahad, Fuad Rahman, Mohammad Ruhul Amin, N... | 2024-12-02 | Lecture notes in computer science | https://github.com/apurba-nsu-rnd-lab/DFAR. | https://doi.org/10.1007/978-3-031-78172-8_16 |
| 353 | Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification | Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin | 2024-12-01 | arXiv | https://github.com/Osilly/dynamic_llava | https://openreview.net/forum?id=hzVpZDrW73 |
| 354 | Woodpecker: hallucination correction for multimodal large language models | Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Bill Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen | 2024-12-01 | Science China Information Sciences | https://github.com/BradyFU/Woodpecker. | https://doi.org/10.1007/s11432-024-4251-x |
| 355 | Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings | Qiong Wu, Wei Lin, Weihao Ye, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji | 2024-11-29 | arXiv (Cornell University) | https://github.com/DoubtedSteam/DyVTE. | http://arxiv.org/abs/2411.19628 |
| 356 | CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Pa.. | Shengjun Zhu, Siyu Liu, Yang Li, Qing Lei, Hongyan Hou, He‐wei Jiang, Shujuan Guo, Feng Wang, Rongshang Chen, Xionglin F... | 2024-11-28 | Current Proteomics | https://github.com/sysll/CovidLLM | https://doi.org/10.2174/0115701646366019250304064012 |
| 357 | Leveraging Large Language Models and Topic Modeling for Toxicity Classification | Haniyeh Ehsani Oskouie, Christina Chance, Claire Huang, Margaret Capetz, Elizabeth Eyeson, Majid Sarrafzadeh | 2024-11-26 | 2016 International Conference on Computing, Networking and Communications (ICNC) | https://github.com/aheldis/Toxicity-Classification.git. | https://doi.org/10.1109/ICNC64010.2025.10994061 |
| 358 | AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting | Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao | 2024-11-26 | Lecture notes in computer science | https://github.com/rain305f/AdaShield. | https://doi.org/10.1007/978-3-031-72661-3_5 |
| 359 | VaxLLM: Leveraging Fine-tuned Large Language Model for automated annotation of Brucella Vaccines | Xingxian Li, Yuping Zheng, Jie Hu, Jie Zheng, Zhigang Wang, Yongqun He | 2024-11-26 | bioRxiv (Cold Spring Harbor Laboratory) | https://github.com/xingxianli/VaxLLM | https://doi.org/10.1101/2024.11.25.625209 |
| 360 | CS-Eval: A Comprehensive Large Language Model Benchmark for CyberSecurity | Zhengmin Yu, Jiutian Zeng, Siyi Chen, Wenhan Xu, Dandan Xu, Xiangyu Liu, Zonghao Ying, Nan Wang, Yuan Zhang, Min Yang | 2024-11-25 | arXiv (Cornell University) | https://github.com/CS-EVAL/CS-Eval. | http://arxiv.org/abs/2411.16239 |
| 361 | Large Language Model with Region-guided Referring and Grounding for CT Report Generation | Zhixuan Chen, Yequan Bie, Huanying Jin, Hao Chen | 2024-11-23 | IEEE Transactions on Medical Imaging | https://github.com/zhi-xuan-chen/Reg2RG. | https://doi.org/10.1109/TMI.2025.3559923 |
| 362 | "Moralized" Multi-Step Jailbreak Prompts: Black-Box Testing of Guardrails in Large Language Models for Verbal Attacks | Libo Wang | 2024-11-23 | arXiv (Cornell University) | https://github.com/brucewang123456789/GeniusTrail.git. | http://arxiv.org/abs/2411.16730 |
| 363 | DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization | Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jing Li, Min Zhang, Zhaopeng Tu | 2024-11-21 | OpenAlex | https://github.com/hexuandeng/DRPruning. | https://doi.org/10.18653/v1/2025.acl-long.1414 |
| 364 | SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model | Christopher Nguyen, William Nguyen, Atsushi Suzuki, Daisuke Oku, Hong An Phan, Dinh Viet Sang, Zooey Nguyen, Ha Cam Anh,... | 2024-11-20 | arXiv (Cornell University) | https://github.com/aitomatic/semikong | http://arxiv.org/abs/2411.13802 |
| 365 | On the Consistency of Video Large Language Models in Temporal Comprehension | Minjoon Jung, Junbin Xiao, Byoung‐Tak Zhang, Angela Yao | 2024-11-19 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | https://github.com/minjoong507/Consistency-of-Video-LLM. | https://openaccess.thecvf.com/content/CVPR2025/html/Jung_On_the_Consistency_of_Video_Large_Language_Models_in_Temporal_CVPR_2025_paper.html |
| 366 | FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training | Anjia Cao, Xing Wei, Zhiheng Ma | 2024-11-18 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | https://github.com/MIV-XJTU/FLAME | https://openaccess.thecvf.com/content/CVPR2025/html/Cao_FLAME_Frozen_Large_Language_Models_Enable_Data-Efficient_Language-Image_Pre-training_CVPR_2025_paper.html |
| 367 | Multilingual Large Language Models: A Systematic Survey | Shaolin Zhu, Supryadi, Shaoyang Xu, Haoran Sun, Leiyu Pan, Menglong Cui, Jiangcun Du, Renren Jin, António Branco, Deyi X... | 2024-11-17 | arXiv (Cornell University) | https://github.com/tjunlp-lab/Awesome-Multilingual-LLMs-Papers. | http://arxiv.org/abs/2411.11072 |
| 368 | BianCang: A Traditional Chinese Medicine Large Language Model | Sibo Wei, Xueping Peng, Yifei Wang, Jiasheng Si, Weiyu Zhang, Wenpeng Lü, Xiaoming Wu, Yinglong Wang | 2024-11-17 | arXiv (Cornell University) | https://github.com/QLU-NLP/BianCang. | http://arxiv.org/abs/2411.11027 |
| 369 | TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models | Tingyu Qu, Mingxiao Li, Tinne Tuytelaars, Marie‐Francine Moens | 2024-11-17 | arXiv (Cornell University) | https://github.com/tingyu215/TS-LLaVA. | http://arxiv.org/abs/2411.11066 |
| 370 | Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash | Parsa Hejabi, Elnaz Rahmati, Alireza S. Ziabari, Preni Golazizian, Jesse Thomason, Morteza Dehghani | 2024-11-15 | arXiv (Cornell University) | https://github.com/ParsaHejabi/Simulation-Framework-for-Multi-Agent-Balderdash | http://arxiv.org/abs/2411.10422 |
| 371 | Orca: Enhancing Role-Playing Abilities of Large Language Models by Integrating Personality Traits | Yu-Chih Huang | 2024-11-15 | arXiv (Cornell University) | https://github.com/Aipura/Orca. | http://arxiv.org/abs/2411.10006 |
| 372 | LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation | Zhenshi Li, Dilxat Muhtar, Feng Gu, Yibei He, Xueliang Zhang, Pengfeng Xiao, Guangjun He, Xiao Xiang Zhu | 2024-11-14 | ISPRS Journal of Photogrammetry and Remote Sensing | https://github.com/NJU-LHRS/LHRS-Bot. | https://doi.org/10.1016/j.isprsjprs.2025.06.003 |
| 373 | DROJ: A Prompt-Driven Attack against Large Language Models | Longfei Hu, B. Wang | 2024-11-13 | arXiv (Cornell University) | https://github.com/Leon-Leyang/LLM-Safeguard. | http://arxiv.org/abs/2411.09125 |
| 374 | Verbosity |
Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang | 2024-11-12 | arXiv (Cornell University) | https://github.com/psunlpgroup/VerbosityLLM. | http://arxiv.org/abs/2411.07858 |
| 375 | Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey | Yang Gu, Haihang You, Jian Cao, Muran Yu, Haoran Fan, Shiyou Qian | 2024-11-11 | ACM Transactions on Software Engineering and Methodology | https://github.com/t-harden/LLM4AutoML | http://arxiv.org/abs/2411.10478 |
| 376 | Benchmarking Large Language Models for NL-to-SQL: A Comprehensive Evaluation of Accuracy, Cost and Throughput | Adithya Narasimhan, Amit Kumar Bhamboo, Abiram Devnathan, Jeyaraj Vellaisamy, Vineeth Vijayaraghavan | 2024-11-10 | OpenAlex | https://github.com/petavue/NL2SQL-Benchmark. | https://doi.org/10.36227/techrxiv.173121325.56335825/v1 |
| 377 | Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models | Xiaojun Wu, Junxi Liu, Hong Su, Zhouchi Lin, Yiyan Qi, Chengjin Xu, Jiajun Su, Jiajie Zhong, Fuwei Wang, Saizhuo Wang, F... | 2024-11-09 | arXiv (Cornell University) | https://github.com/IDEA-FinAI/Golden-Touchstone | http://arxiv.org/abs/2411.06272 |
| 378 | TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering | Yungeng Liu, Zan Chen, Yu Guang Wang, Yiqing Shen | 2024-11-08 | 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) | https://github.com/tsynbio/Toursynbio-Search | https://doi.org/10.1109/bibm62325.2024.10822318 |
| 379 | AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering | Yungeng Liu, Zan Chen, Yuguang Wang, Yiqing Shen | 2024-11-07 | COLING | https://github.com/tsynbio/AutoPE. | https://aclanthology.org/2025.coling-industry.36/ |
| 380 | Measuring short-form factuality in large language models | Jason Lee, Nguyen Karina, Hyung Won Chung, Yunxin Joy Jiao, Spencer Papay, Amelia Glaese, John Schulman, William Fedus | 2024-11-06 | arXiv (Cornell University) | https://github.com/openai/simple-evals. | http://arxiv.org/abs/2411.04368 |
| 381 | QUILL: Quotation Generation Enhancement of Large Language Models | Jin Xiao, Bowei Zhang, Qianyu He, Jiaqing Liang, Wei Feng, Jinglei Chen, Zujie Liang, Deqing Yang, Yanghua Xiao | 2024-11-06 | arXiv (Cornell University) | https://github.com/GraceXiaoo/QUILL. | http://arxiv.org/abs/2411.03675 |
| 382 | SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents | Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen | 2024-11-05 | Lecture notes in computer science | https://github.com/David-Li0406/SMoA. | https://doi.org/10.1007/978-981-96-8180-8_5 |
| 383 | FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models | Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian | 2024-11-05 | ICLR | https://github.com/microsoft/CADGeneration | https://openreview.net/forum?id=Z0eiiV3Yyh |
| 384 | Evaluating Large Language Models: A Comprehensive Survey | Zishan Guo, Renren Jin, Chuang Liu, Yufei Huang, Dan Shi, Supryadi, Linhao Yu, Yan Liu, Jiaxuan Li, Bojian Xiong, Deyi X... | 2024-11-05 | International Journal of Latest Engineering and Management Research (IJLEMR) | https://github.com/tjunlp-lab/Awesome-LLMs-Evaluation-Papers. | https://doi.org/10.56581/ijlemr.9.10.05-16 |
| 385 | Leveraging Large Language Models in Code Question Answering: Baselines and Issues | Georgy Andryushchenko, Vladimir Ivanov, Vladimir Makharev, Elizaveta Tukhtina, Aidar Valeev | 2024-11-05 | Communications in computer and information science | https://github.com/IU-AES-AI4Code/CodeQuestionAnswering. | https://doi.org/10.1007/978-3-031-97019-1_1 |
| 386 | DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution | Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang | 2024-11-04 | NeurIPS | https://github.com/yueyang130/DeeR-VLA. | http://papers.nips.cc/paper_files/paper/2024/hash/67b0e7c7c2a5780aeefe3b79caac106e-Abstract-Conference.html |
| 387 | SQL Injection Jailbreak: a structural disaster of large language models | Jiawei Zhao, Kejiang Chen, Weiming Zhang, Nenghai Yu | 2024-11-03 | Findings of the Association for Computational Linguistics: ACL 2022 | https://github.com/weiyezhimeng/SQL-Injection-Jailbreak | https://doi.org/10.18653/v1/2025.findings-acl.358 |
| 388 | Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis | Shijia Liao, Yuxuan Wang, Tianyu Li, Yifan Cheng, Ruoyi Zhang, Ran Zhou, Yun-Xuan Xing | 2024-11-02 | arXiv (Cornell University) | https://github.com/fishaudio/fish-speech | http://arxiv.org/abs/2411.01156 |
| 389 | Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models | Aliyah R. Hsu, James Zhu, Zhichao Wang, Bin Bi, Shubham Mehrotra, Shiva Pentyala, Katherine Tan, Xiang-Bo Mao, Roshanak ... | 2024-11-02 | arXiv (Cornell University) | https://github.com/adelaidehsu/REC | http://arxiv.org/abs/2411.02448 |
| 390 | MoD: A Distribution-Based Approach for Merging Large Language Models | Quy-Anh Dang, Chong‐Wah Ngo | 2024-11-01 | arXiv (Cornell University) | https://github.com/knovel-eng/mod. | http://arxiv.org/abs/2411.00406 |
| 391 | BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments | Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu | 2024-10-31 | arXiv (Cornell University) | https://github.com/xinghaow99/BitStack. | http://arxiv.org/abs/2410.23918 |
| 392 | End-to-End Ontology Learning with Large Language Models | Andrea Lo, Albert Q. Jiang, Wenda Li, Mateja Jamnik | 2024-10-30 | NeurIPS | https://github.com/andylolu2/ollm. | http://papers.nips.cc/paper_files/paper/2024/hash/9e89f068a62f6858c661a8abecf5bb0a-Abstract-Conference.html |
| 393 | LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment | Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu | 2024-10-28 | NeurIPS | https://github.com/AboveParadise/LLMCBench. | http://papers.nips.cc/paper_files/paper/2024/hash/9f4cc62d0632911c63163ea3d9ec19bd-Abstract-Datasets_and_Benchmarks_Track.html |
| 394 | NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates | Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Zhang Min, Zhaopeng Tu | 2024-10-28 | NeurIPS | https://github.com/hexuandeng/NewTerm. | http://papers.nips.cc/paper_files/paper/2024/hash/3eec719ab86712d32b065c5977f94ad0-Abstract-Datasets_and_Benchmarks_Track.html |
| 395 | GCoder: Improving Large Language Model for Generalized Graph Problem Solving | Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li | 2024-10-24 | OpenAlex | https://github.com/Bklight999/WWW25-GCoder | https://doi.org/10.1145/3746252.3761066 |
| 396 | Cross-model Control: Improving Multiple Large Language Models in One-time Training | Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao | 2024-10-23 | NeurIPS | https://github.com/wujwyi/CMC. | http://papers.nips.cc/paper_files/paper/2024/hash/9856b5d30ac61ab744fdab6f67d874e4-Abstract-Conference.html |
| 397 | GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration | Xin Li, Qi Chu, Yubin Chen, Yang Liu, Yaoqi Liu, Zhi Yu, Weize Chen, Chen Qian, Chuan Shi, Cheng Yang | 2024-10-23 | arXiv (Cornell University) | https://github.com/BUPT-GAMMA/GraphTeam. | http://arxiv.org/abs/2410.18032 |
| 398 | DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models | Qian Chen, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao | 2024-10-22 | arXiv (Cornell University) | https://github.com/ChnQ/DEAN | http://arxiv.org/abs/2410.16672 |
| 399 | ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage | Taewhoo Lee, Chanwoong Yoon, Kyochul Jang, Donghyeon Lee, Myung-Ha Song, Hyunjae Kim, Jaewoo Kang | 2024-10-22 | OpenAlex | https://github.com/dmis-lab/ETHIC. | https://doi.org/10.18653/v1/2025.naacl-long.283 |
| 400 | Improving Causal Reasoning in Large Language Models: A Survey | Lu Yu, Delin Chen, Siheng Xiong, Qingyang Wu, Qingzhen Liu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan | 2024-10-22 | arXiv (Cornell University) | https://github.com/chendl02/Awesome-LLM-causal-reasoning. | http://arxiv.org/abs/2410.16676 |
| 401 | LLaVA-KD: A Framework of Distilling Multimodal Large Language Models | Yuxuan Cai, Jiangning Zhang, Haoyang He, Xinwei He, Ao Tong, Zhenye Gan, Chengjie Wang, Xiang Bai | 2024-10-21 | arXiv (Cornell University) | https://github.com/Fantasyele/LLaVA-KD. | http://arxiv.org/abs/2410.16236 |
| 402 | Comprehensive benchmarking of large language models for RNA secondary structure prediction | Luciano I Zablocki, Leandro A. Bugnon, M. Gérard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone | 2024-10-21 | Briefings in Bioinformatics | https://github.com/sinc-lab/rna-llm-folding | https://doi.org/10.1093/bib/bbaf137 |